https://github.com/huggingface/transformers

bert deep-learning flax hacktoberfest jax language-model language-models machine-learning model-hub natural-language-processing nlp nlp-library pretrained-models python pytorch pytorch-transformers seq2seq speech-recognition tensorflow transformer

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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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Total Commits: 16,799
Total Committers: 2,894
Avg Commits per committer: 5.805
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Commits in past year: 2,933
Committers in past year: 806
Avg Commits per committer in past year: 3.639
Development Distribution Score (DDS) in past year: 0.93

Name Email Commits
Sylvain Gugger 3****r 1013
Yih-Dar 2****h 964
thomwolf t****f@g****m 891
Patrick von Platen p****n@g****m 786
Lysandre l****t@r****r 654
Stas Bekman s****0 512
Joao Gante j****e@g****m 382
Julien Chaumond c****d@g****m 367
Lysandre Debut l****e@h****o 328
Younes Belkada 4****a 315
Arthur 4****r 312
Matt R****1 280
Sam Shleifer s****r@g****m 280
NielsRogge 4****e 266
Nicolas Patry p****s@p****m 229
amyeroberts 2****s 221
Suraj Patil s****5@g****m 201
VictorSanh v****h@g****m 194
Sanchit Gandhi 9****i 149
Manuel Romero m****8@g****m 149
Sylvain Gugger s****r@g****m 138
dependabot[bot] 4****] 136
Zach Mueller m****r@g****m 131
Raushan Turganbay r****n@h****o 125
Julien Plu p****n@g****m 113
Steven Liu 5****u 107
Aymeric Augustin a****n@f****m 93
Sylvain Gugger S****r@g****m 89
Rémi Louf r****f@g****m 81
Marc Sun 5****c 77
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pypi: transformers

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

conda: transformers

  • Homepage: https://github.com/huggingface/transformers
  • Licenses: Apache-2.0
  • Latest release: 4.24.0 (published about 2 years ago)
  • Last Synced: 2024-10-29T09:15:10.329Z (about 2 months ago)
  • Versions: 68
  • Dependent Packages: 24
  • Dependent Repositories: 101
  • Rankings:
    • Stargazers count: 0.08%
    • Forks count: 0.125%
    • Average: 1.592%
    • Dependent packages count: 2.79%
    • Dependent repos count: 3.374%
pypi: in-transformers

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

  • Homepage: https://github.com/huggingface/transformers
  • Status: removed
  • Documentation: https://in-transformers.readthedocs.io/
  • Licenses: Apache
  • Latest release: 1.0.0 (published almost 2 years ago)
  • Last Synced: 2024-11-11T01:06:26.058Z (about 1 month ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 18 Last month
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    • Downloads: 16.5%
    • Dependent repos count: 30.611%
  • Maintainers (1)
spack: py-transformers

State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch

  • Homepage: https://github.com/huggingface/transformers
  • Licenses: []
  • Latest release: 4.35.2 (published about 1 year ago)
  • Last Synced: 2024-10-29T18:43:31.033Z (about 2 months ago)
  • Versions: 7
  • Dependent Packages: 1
  • Dependent Repositories: 0
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    • Dependent repos count: 0.0%
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    • Average: 14.322%
    • Dependent packages count: 57.274%
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conda: transformers

Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. These models can be applied on: - 📝 Text, for tasks like text classification, information extraction, question answering, summarization, translation, text generation, in over 100 languages. - 🖼️ Images, for tasks like image classification, object detection, and segmentation. - 🗣️ Audio, for tasks like speech recognition and audio classification. Transformer models can also perform tasks on several modalities combined, such as table question answering, optical character recognition, information extraction from scanned documents, video classification, and visual question answering.

  • Homepage: https://github.com/huggingface/transformers
  • Licenses: Apache-2.0
  • Latest release: 4.37.2 (published 10 months ago)
  • Last Synced: 2024-10-29T18:45:30.918Z (about 2 months ago)
  • Versions: 11
  • Dependent Packages: 4
  • Dependent Repositories: 101
  • Rankings:
    • Stargazers count: 0.154%
    • Forks count: 0.461%
    • Average: 15.066%
    • Dependent repos count: 18.623%
    • Dependent packages count: 41.026%
pypi: transformers-phobert

State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch. Note that the tokenizer was changed by PhoBert in this version.

  • Homepage: https://github.com/huggingface/transformers
  • Documentation: https://transformers-phobert.readthedocs.io/
  • Licenses: Apache
  • Latest release: 3.1.2 (published over 4 years ago)
  • Last Synced: 2024-11-11T01:06:03.954Z (about 1 month ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 74 Last month
  • Rankings:
    • Stargazers count: 0.002%
    • Forks count: 0.007%
    • Dependent packages count: 7.373%
    • Average: 16.257%
    • Dependent repos count: 22.233%
    • Downloads: 51.668%
  • Maintainers (1)
pypi: transformers-machinify

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

  • Homepage: https://github.com/huggingface/transformers
  • Documentation: https://transformers-machinify.readthedocs.io/
  • Licenses: Apache 2.0 License
  • Latest release: 4.27.0.dev0 (published over 1 year ago)
  • Last Synced: 2024-11-11T01:06:20.231Z (about 1 month ago)
  • Versions: 1
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 87 Last month
  • Rankings:
    • Dependent packages count: 3.087%
    • Average: 16.814%
    • Dependent repos count: 30.542%
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pypi: hf-argparser

Standalone version of the HuggingFace ArgParser from the Transformers library

  • Homepage:
  • Documentation: https://hf-argparser.readthedocs.io/
  • Licenses: apache-2.0
  • Latest release: 0.1.1 (published about 1 year ago)
  • Last Synced: 2024-11-11T01:06:19.880Z (about 1 month ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 137 Last month
  • Rankings:
    • Dependent packages count: 10.126%
    • Average: 16.824%
    • Downloads: 18.811%
    • Dependent repos count: 21.535%
  • Maintainers (1)
pypi: textualheatmap

Create interactive textual heat maps for Jupiter notebooks

  • Homepage:
  • Documentation: https://textualheatmap.readthedocs.io/
  • Licenses: MIT
  • Latest release: 1.1.1 (published over 4 years ago)
  • Last Synced: 2024-11-11T01:05:54.065Z (about 1 month ago)
  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 148 Last month
  • Rankings:
    • Stargazers count: 5.014%
    • Forks count: 9.126%
    • Dependent packages count: 9.841%
    • Dependent repos count: 11.679%
    • Average: 16.934%
    • Downloads: 49.008%
  • Maintainers (1)
pypi: fms-acceleration-aadp

FMS Acceleration Plugin for Attention and Distributed Packing Optimizations

  • Homepage:
  • Documentation: https://fms-acceleration-aadp.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release:
  • Last Synced: 2024-11-11T01:06:18.423Z (about 1 month ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 3,524 Last month
  • Rankings:
    • Dependent packages count: 10.379%
    • Average: 34.402%
    • Dependent repos count: 58.425%
  • Maintainers (1)
pypi: divyanx-transformers

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

  • Homepage: https://github.com/huggingface/transformers
  • Documentation: https://divyanx-transformers.readthedocs.io/
  • Licenses: Apache 2.0 License
  • Latest release:
  • Last Synced: 2024-11-11T01:06:28.112Z (about 1 month ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 92 Last month
  • Rankings:
    • Dependent packages count: 10.454%
    • Average: 34.65%
    • Dependent repos count: 58.847%
  • Maintainers (1)
pypi: fms-acceleration-ilab

FMS Acceleration Plugin for Functionalities Used in Instruct Lab Training

  • Homepage:
  • Documentation: https://fms-acceleration-ilab.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release:
  • Last Synced: 2024-11-11T01:06:05.950Z (about 1 month ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 42 Last month
  • Rankings:
    • Dependent packages count: 10.542%
    • Average: 34.954%
    • Dependent repos count: 59.365%
  • Maintainers (1)
pypi: fms-acceleration-peft

FMS Acceleration for PeFT

  • Homepage:
  • Documentation: https://fms-acceleration-peft.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release:
  • Last Synced: 2024-11-11T01:05:55.787Z (about 1 month ago)
  • Versions: 11
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 3,886 Last month
  • Rankings:
    • Dependent packages count: 10.637%
    • Average: 35.27%
    • Dependent repos count: 59.903%
  • Maintainers (2)
pypi: comparisonframe

A simple tool to compare textual data against validation sets.

  • Homepage:
  • Documentation: https://comparisonframe.readthedocs.io/
  • Licenses: mit
  • Latest release:
  • Last Synced: 2024-11-11T01:05:47.502Z (about 1 month ago)
  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 601 Last month
  • Rankings:
    • Dependent packages count: 10.794%
    • Average: 35.791%
    • Dependent repos count: 60.788%
  • Maintainers (1)
pypi: grouped-query-attention-pytorch

grouped-query-attention-pytorch

  • Homepage:
  • Documentation: https://grouped-query-attention-pytorch.readthedocs.io/
  • Licenses: MIT
  • Latest release: 0.3.0 (published 8 months ago)
  • Last Synced: 2024-11-11T01:06:19.610Z (about 1 month ago)
  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 371 Last month
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    • Dependent packages count: 7.607%
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    • Dependent repos count: 69.447%
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pypi: axlearn

AXLearn

  • Homepage:
  • Documentation: https://axlearn.readthedocs.io/
  • Licenses: apache-2.0
  • Latest release: 0.0.1 (published over 1 year ago)
  • Last Synced: 2024-11-11T01:06:31.278Z (about 1 month ago)
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 405 Last month
  • Rankings:
    • Dependent packages count: 7.52%
    • Average: 38.669%
    • Dependent repos count: 69.819%
  • Maintainers (1)

Dependencies

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docker/transformers-all-latest-gpu/Dockerfile docker
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docker/transformers-doc-builder/Dockerfile docker
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docker/transformers-gpu/Dockerfile docker
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docker/transformers-past-gpu/Dockerfile docker
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docker/transformers-pytorch-amd-gpu/Dockerfile docker
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docker/transformers-pytorch-deepspeed-latest-gpu/Dockerfile docker
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docker/transformers-pytorch-deepspeed-nightly-gpu/Dockerfile docker
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docker/transformers-pytorch-gpu/Dockerfile docker
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docker/transformers-pytorch-tpu/Dockerfile docker
  • google/cloud-sdk slim build
docker/transformers-tensorflow-gpu/Dockerfile docker
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examples/research_projects/quantization-qdqbert/Dockerfile docker
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examples/flax/_tests_requirements.txt pypi
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examples/flax/language-modeling/requirements.txt pypi
  • datasets >=1.1.3
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examples/flax/question-answering/requirements.txt pypi
  • datasets >=1.8.0
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examples/flax/summarization/requirements.txt pypi
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examples/flax/text-classification/requirements.txt pypi
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examples/flax/token-classification/requirements.txt pypi
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examples/flax/vision/requirements.txt pypi
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examples/legacy/pytorch-lightning/requirements.txt pypi
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examples/legacy/seq2seq/requirements.txt pypi
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examples/pytorch/_tests_requirements.txt pypi
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examples/pytorch/audio-classification/requirements.txt pypi
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examples/pytorch/image-classification/requirements.txt pypi
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  • Pillow ==9.3.0
  • Pint ==0.16.1
  • PyYAML ==6.0
  • Pygments ==2.15.0
  • SQLAlchemy ==1.4.32
  • SoundFile ==0.10.3.post1
  • Werkzeug ==2.2.3
  • absl-py ==1.0.0
  • aiohttp ==3.8.5
  • aiosignal ==1.2.0
  • alembic ==1.7.7
  • appdirs ==1.4.4
  • arrow ==1.2.2
  • asttokens ==2.0.5
  • astunparse ==1.6.3
  • async-timeout ==4.0.2
  • attrs ==21.4.0
  • audioread ==2.1.9
  • autopage ==0.5.0
  • backcall ==0.2.0
  • backoff ==1.11.1
  • backports.zoneinfo ==0.2.1
  • binaryornot ==0.4.4
  • black ==22.1.0
  • boto3 ==1.16.34
  • botocore ==1.19.63
  • cachetools ==5.0.0
  • certifi ==2023.7.22
  • cffi ==1.15.0
  • chardet ==4.0.0
  • charset-normalizer ==2.0.12
  • chex ==0.1.1
  • click ==8.0.4
  • cliff ==3.10.1
  • clldutils ==3.11.1
  • cloudpickle ==2.0.0
  • cmaes ==0.8.2
  • cmd2 ==2.4.0
  • codecarbon ==1.2.0
  • colorlog ==6.6.0
  • cookiecutter ==2.1.1
  • cryptography ==41.0.2
  • csvw ==2.0.0
  • cycler ==0.11.0
  • dash ==2.3.0
  • dash-bootstrap-components ==1.0.3
  • dash-core-components ==2.0.0
  • dash-html-components ==2.0.0
  • dash-table ==5.0.0
  • datasets ==2.0.0
  • decorator ==5.1.1
  • dill ==0.3.4
  • dlinfo ==1.2.1
  • dm-tree ==0.1.6
  • docker ==4.4.4
  • execnet ==1.9.0
  • executing ==0.8.3
  • faiss-cpu ==1.7.2
  • fasteners ==0.17.3
  • filelock ==3.6.0
  • fire ==0.4.0
  • flake8 ==4.0.1
  • flatbuffers ==2.0
  • flax ==0.4.0
  • fonttools ==4.31.1
  • frozenlist ==1.3.0
  • fsspec ==2022.2.0
  • fugashi ==1.1.2
  • gast ==0.5.3
  • gitdb ==4.0.9
  • glfw ==2.5.1
  • google-auth ==2.6.2
  • google-auth-oauthlib ==0.4.6
  • google-pasta ==0.2.0
  • greenlet ==1.1.2
  • grpcio ==1.44.0
  • gym ==0.23.1
  • gym-notices ==0.0.6
  • h5py ==3.6.0
  • huggingface-hub ==0.4.0
  • hypothesis ==6.39.4
  • idna ==3.3
  • imageio ==2.16.1
  • importlib-metadata ==4.11.3
  • importlib-resources ==5.4.0
  • iniconfig ==1.1.1
  • ipadic ==1.0.0
  • ipython ==8.10.0
  • isodate ==0.6.1
  • isort ==5.10.1
  • itsdangerous ==2.1.1
  • jax ==0.3.4
  • jaxlib ==0.3.2
  • jedi ==0.18.1
  • jinja2-time ==0.2.0
  • jmespath ==0.10.0
  • joblib ==1.2.0
  • jsonschema ==4.4.0
  • keras ==2.8.0
  • kiwisolver ==1.4.0
  • kubernetes ==12.0.1
  • libclang ==13.0.0
  • librosa ==0.9.1
  • llvmlite ==0.38.0
  • matplotlib ==3.5.1
  • matplotlib-inline ==0.1.3
  • mccabe ==0.6.1
  • msgpack ==1.0.3
  • mujoco-py ==2.1.2.14
  • multidict ==6.0.2
  • multiprocess ==0.70.12.2
  • mypy-extensions ==0.4.3
  • nltk ==3.7
  • numba ==0.55.1
  • numpy ==1.22.3
  • oauthlib ==3.2.2
  • onnx ==1.13.0
  • onnxconverter-common ==1.9.0
  • opt-einsum ==3.3.0
  • optax ==0.1.1
  • optuna ==2.10.0
  • packaging ==21.3
  • pandas ==1.4.1
  • parameterized ==0.8.1
  • parso ==0.8.3
  • pathspec ==0.9.0
  • pbr ==5.8.1
  • pexpect ==4.8.0
  • phonemizer ==3.0.1
  • pickleshare ==0.7.5
  • plac ==1.3.4
  • platformdirs ==2.5.1
  • plotly ==5.6.0
  • pluggy ==1.0.0
  • pooch ==1.6.0
  • portalocker ==2.0.0
  • poyo ==0.5.0
  • prettytable ==3.2.0
  • prompt-toolkit ==3.0.28
  • protobuf ==3.19.5
  • psutil ==5.9.0
  • ptyprocess ==0.7.0
  • pure-eval ==0.2.2
  • py ==1.11.0
  • py-cpuinfo ==8.0.0
  • pyOpenSSL ==22.0.0
  • pyarrow ==7.0.0
  • pyasn1 ==0.4.8
  • pyasn1-modules ==0.2.8
  • pycodestyle ==2.8.0
  • pycparser ==2.21
  • pyctcdecode ==0.3.0
  • pyflakes ==2.4.0
  • pygtrie ==2.4.2
  • pynvml ==11.4.1
  • pyparsing ==3.0.7
  • pyperclip ==1.8.2
  • pypng ==0.0.21
  • pyrsistent ==0.18.1
  • pytest ==7.1.1
  • pytest-forked ==1.4.0
  • pytest-timeout ==2.1.0
  • pytest-xdist ==2.5.0
  • python-dateutil ==2.8.2
  • python-slugify ==6.1.1
  • pytz ==2022.1
  • pytz-deprecation-shim ==0.1.0.post0
  • ray ==1.11.0
  • redis ==4.5.4
  • regex ==2022.3.15
  • requests ==2.31.0
  • requests-oauthlib ==1.3.1
  • resampy ==0.2.2
  • responses ==0.18.0
  • rfc3986 ==1.5.0
  • rouge-score ==0.0.4
  • rsa ==4.8
  • s3transfer ==0.3.7
  • sacrebleu ==1.5.1
  • sacremoses ==0.0.49
  • scikit-learn ==1.0.2
  • scipy ==1.8.0
  • segments ==2.2.0
  • sentencepiece ==0.1.96
  • sigopt ==8.2.0
  • six ==1.16.0
  • smmap ==5.0.0
  • sortedcontainers ==2.4.0
  • stack-data ==0.2.0
  • stevedore ==3.5.0
  • tabulate ==0.8.9
  • tenacity ==8.0.1
  • tensorboard ==2.8.0
  • tensorboard-data-server ==0.6.1
  • tensorboard-plugin-wit ==1.8.1
  • tensorboardX ==2.5
  • tensorflow ==2.8.1
  • tensorflow-io-gcs-filesystem ==0.24.0
  • termcolor ==1.1.0
  • text-unidecode ==1.3
  • tf-estimator-nightly ==2.8.0.dev2021122109
  • tf2onnx ==1.9.3
  • threadpoolctl ==3.1.0
  • timeout-decorator ==0.5.0
  • timm ==0.5.4
  • tokenizers ==0.11.6
  • tomli ==2.0.1
  • toolz ==0.11.2
  • torch ==1.11.0
  • torchaudio ==0.11.0
  • torchvision ==0.12.0
  • tqdm ==4.63.0
  • traitlets ==5.1.1
  • typing-extensions ==4.1.1
  • tzdata ==2022.1
  • tzlocal ==4.1
  • unidic ==1.1.0
  • unidic-lite ==1.0.8
  • uritemplate ==4.1.1
  • urllib3 ==1.26.9
  • wasabi ==0.9.0
  • wcwidth ==0.2.5
  • websocket-client ==1.3.1
  • wrapt ==1.14.0
  • xxhash ==3.0.0
  • yarl ==1.7.2
  • zipp ==3.7.0
examples/research_projects/deebert/requirements.txt pypi
  • transformers ==3.5.1
examples/research_projects/distillation/requirements.txt pypi
  • gitpython ==3.1.32
  • psutil ==5.6.6
  • scipy >=1.4.1
  • tensorboard >=1.14.0
  • tensorboardX ==1.8
  • transformers *
examples/research_projects/fsner/pyproject.toml pypi
examples/research_projects/fsner/requirements.txt pypi
  • transformers >=4.9.2
examples/research_projects/fsner/setup.py pypi
  • torch >=1.9.0
examples/research_projects/information-gain-filtration/requirements.txt pypi
  • joblib >=0.13.2
  • matplotlib *
  • numpy >=1.17.2
  • scipy *
  • torch >=1.10.1
  • transformers >=3.5
examples/research_projects/jax-projects/big_bird/requirements.txt pypi
  • datasets *
  • flax *
  • jsonlines *
  • sentencepiece *
  • wandb *
examples/research_projects/jax-projects/hybrid_clip/requirements.txt pypi
  • flax >=0.3.5
  • jax >=0.2.8
  • jaxlib >=0.1.59
  • optax >=0.0.8
  • torch ==1.9.0
  • torchvision ==0.10.0
examples/research_projects/layoutlmv3/requirements.txt pypi
  • datasets *
  • pillow *
  • seqeval *
examples/research_projects/longform-qa/requirements.txt pypi
  • datasets >=1.1.3
  • elasticsearch *
  • faiss-cpu *
  • streamlit *
examples/research_projects/lxmert/requirements.txt pypi
  • CacheControl ==0.12.6
  • Jinja2 >=2.11.3
  • MarkupSafe ==1.1.1
  • Pillow >=8.1.1
  • PyYAML >=5.4
  • Pygments >=2.7.4
  • QtPy ==1.9.0
  • Send2Trash ==1.5.0
  • appdirs ==1.4.3
  • argon2-cffi ==20.1.0
  • async-generator ==1.10
  • attrs ==20.2.0
  • backcall ==0.2.0
  • certifi ==2023.7.22
  • cffi ==1.14.2
  • chardet ==3.0.4
  • click ==7.1.2
  • colorama ==0.4.3
  • contextlib2 ==0.6.0
  • cycler ==0.10.0
  • datasets ==1.0.0
  • decorator ==4.4.2
  • defusedxml ==0.6.0
  • dill ==0.3.2
  • distlib ==0.3.0
  • distro ==1.4.0
  • entrypoints ==0.3
  • filelock ==3.0.12
  • future ==0.18.3
  • html5lib ==1.0.1
  • idna ==2.8
  • ipaddr ==2.2.0
  • ipykernel ==5.3.4
  • ipython *
  • ipython-genutils ==0.2.0
  • ipywidgets ==7.5.1
  • jedi ==0.17.2
  • joblib ==1.2.0
  • jsonschema ==3.2.0
  • jupyter ==1.0.0
  • jupyter-client ==6.1.7
  • jupyter-console ==6.2.0
  • jupyter-core ==4.6.3
  • jupyterlab-pygments ==0.1.1
  • kiwisolver ==1.2.0
  • lockfile ==0.12.2
  • matplotlib ==3.3.1
  • mistune ==2.0.3
  • msgpack ==0.6.2
  • nbclient ==0.5.0
  • nbconvert ==6.5.1
  • nbformat ==5.0.7
  • nest-asyncio ==1.4.0
  • notebook ==6.4.12
  • numpy ==1.22.0
  • opencv-python ==4.4.0.42
  • packaging ==20.3
  • pandas ==1.1.2
  • pandocfilters ==1.4.2
  • parso ==0.7.1
  • pep517 ==0.8.2
  • pexpect ==4.8.0
  • pickleshare ==0.7.5
  • progress ==1.5
  • prometheus-client ==0.8.0
  • prompt-toolkit ==3.0.7
  • ptyprocess ==0.6.0
  • pyaml ==20.4.0
  • pyarrow ==1.0.1
  • pycparser ==2.20
  • pyparsing ==2.4.6
  • pyrsistent ==0.16.0
  • python-dateutil ==2.8.1
  • pytoml ==0.1.21
  • pytz ==2020.1
  • pyzmq ==19.0.2
  • qtconsole ==4.7.7
  • regex ==2020.7.14
  • requests ==2.31.0
  • retrying ==1.3.3
  • sacremoses ==0.0.43
  • sentencepiece ==0.1.91
  • six ==1.14.0
  • terminado ==0.8.3
  • testpath ==0.4.4
  • tokenizers ==0.8.1rc2
  • torch ==1.6.0
  • torchvision ==0.7.0
  • tornado ==6.3.3
  • tqdm ==4.48.2
  • traitlets *
  • urllib3 ==1.26.5
  • wcwidth ==0.2.5
  • webencodings ==0.5.1
  • wget ==3.2
  • widgetsnbextension ==3.5.1
  • xxhash ==2.0.0
examples/research_projects/mlm_wwm/requirements.txt pypi
  • datasets >=1.1.3
  • ltp *
  • protobuf *
  • sentencepiece *
examples/research_projects/movement-pruning/requirements.txt pypi
  • h5py >=2.10.0
  • knockknock >=0.1.8.1
  • numpy >=1.18.2
  • scipy >=1.4.1
  • torch >=1.4.0
examples/research_projects/onnx/summarization/requirements.txt pypi
  • torch >=1.10
examples/research_projects/pplm/requirements.txt pypi
  • conllu *
  • datasets >=1.1.3
  • elasticsearch *
  • faiss-cpu *
  • fire *
  • git-python ==1.0.3
  • matplotlib *
  • nltk *
  • pandas *
  • protobuf *
  • psutil *
  • pytest *
  • pytorch-lightning *
  • rouge-score *
  • sacrebleu *
  • scikit-learn *
  • sentencepiece *
  • seqeval *
  • streamlit *
  • tensorboard *
  • tensorflow_datasets *
  • transformers ==3.5.1
examples/research_projects/rag/requirements.txt pypi
  • GitPython *
  • datasets >=1.0.1
  • faiss-cpu >=1.6.3
  • psutil >=5.7.0
  • pytorch-lightning >=1.5.10,<=1.6.0
  • ray >=1.10.0
  • torch >=1.4.0
  • transformers *
examples/research_projects/rag-end2end-retriever/requirements.txt pypi
  • datasets *
  • faiss-cpu >=1.7.2
  • nvidia-ml-py3 ==7.352.0
  • psutil >=5.9.1
  • pytorch-lightning ==1.6.4
  • ray >=1.13.0
  • torch >=1.11.0
examples/research_projects/self-training-text-classification/requirements.txt pypi
  • accelerate *
  • datasets >=1.8.0
  • protobuf *
  • scikit-learn *
  • scipy *
  • sentencepiece *
  • torch >=1.3
examples/research_projects/seq2seq-distillation/requirements.txt pypi
  • conllu *
  • datasets >=1.1.3
  • elasticsearch *
  • faiss-cpu *
  • fire *
  • git-python ==1.0.3
  • matplotlib *
  • nltk *
  • pandas *
  • protobuf *
  • psutil *
  • pytest *
  • pytorch-lightning *
  • rouge-score *
  • sacrebleu *
  • scikit-learn *
  • sentencepiece *
  • streamlit *
  • tensorboard *
  • tensorflow_datasets *
examples/research_projects/tapex/requirements.txt pypi
  • datasets *
  • nltk *
  • numpy *
  • pandas *
examples/research_projects/visual_bert/requirements.txt pypi
  • CacheControl ==0.12.6
  • Jinja2 >=2.11.3
  • MarkupSafe ==1.1.1
  • Pillow >=8.1.1
  • PyYAML >=5.4
  • Pygments >=2.7.4
  • QtPy ==1.9.0
  • Send2Trash ==1.5.0
  • appdirs ==1.4.3
  • argon2-cffi ==20.1.0
  • async-generator ==1.10
  • attrs ==20.2.0
  • backcall ==0.2.0
  • certifi ==2023.7.22
  • cffi ==1.14.2
  • chardet ==3.0.4
  • click ==7.1.2
  • colorama ==0.4.3
  • contextlib2 ==0.6.0
  • cycler ==0.10.0
  • datasets ==1.0.0
  • decorator ==4.4.2
  • defusedxml ==0.6.0
  • dill ==0.3.2
  • distlib ==0.3.0
  • distro ==1.4.0
  • entrypoints ==0.3
  • filelock ==3.0.12
  • future ==0.18.3
  • html5lib ==1.0.1
  • idna ==2.8
  • ipaddr ==2.2.0
  • ipykernel ==5.3.4
  • ipython *
  • ipython-genutils ==0.2.0
  • ipywidgets ==7.5.1
  • jedi ==0.17.2
  • joblib ==1.2.0
  • jsonschema ==3.2.0
  • jupyter ==1.0.0
  • jupyter-client ==6.1.7
  • jupyter-console ==6.2.0
  • jupyter-core ==4.6.3
  • jupyterlab-pygments ==0.1.1
  • kiwisolver ==1.2.0
  • lockfile ==0.12.2
  • matplotlib ==3.3.1
  • mistune ==2.0.3
  • msgpack ==0.6.2
  • nbclient ==0.5.0
  • nbconvert ==6.5.1
  • nbformat ==5.0.7
  • nest-asyncio ==1.4.0
  • notebook ==6.4.12
  • numpy ==1.22.0
  • opencv-python ==4.4.0.42
  • packaging ==20.3
  • pandas ==1.1.2
  • pandocfilters ==1.4.2
  • parso ==0.7.1
  • pep517 ==0.8.2
  • pexpect ==4.8.0
  • pickleshare ==0.7.5
  • progress ==1.5
  • prometheus-client ==0.8.0
  • prompt-toolkit ==3.0.7
  • ptyprocess ==0.6.0
  • pyaml ==20.4.0
  • pyarrow ==1.0.1
  • pycparser ==2.20
  • pyparsing ==2.4.6
  • pyrsistent ==0.16.0
  • python-dateutil ==2.8.1
  • pytoml ==0.1.21
  • pytz ==2020.1
  • pyzmq ==19.0.2
  • qtconsole ==4.7.7
  • regex ==2020.7.14
  • requests ==2.31.0
  • retrying ==1.3.3
  • sacremoses ==0.0.43
  • sentencepiece ==0.1.91
  • six ==1.14.0
  • terminado ==0.8.3
  • testpath ==0.4.4
  • tokenizers ==0.8.1rc2
  • torch ==1.6.0
  • torchvision ==0.7.0
  • tornado ==6.3.3
  • tqdm ==4.48.2
  • traitlets *
  • urllib3 ==1.26.5
  • wcwidth ==0.2.5
  • webencodings ==0.5.1
  • wget ==3.2
  • widgetsnbextension ==3.5.1
  • xxhash ==2.0.0
examples/research_projects/vqgan-clip/requirements.txt pypi
  • Pillow *
  • PyYAML *
  • einops *
  • gradio *
  • icecream *
  • imageio *
  • lpips *
  • matplotlib *
  • more_itertools *
  • numpy *
  • omegaconf *
  • opencv_python_headless *
  • pudb *
  • pytorch_lightning *
  • requests *
  • scikit_image *
  • scipy *
  • setuptools *
  • streamlit *
  • taming-transformers *
  • tokenizers ==0.13.2
  • torch *
  • torchvision *
  • tqdm *
  • transformers ==4.26.0
  • typing_extensions *
  • wandb *
examples/research_projects/wav2vec2/requirements.txt pypi
  • datasets *
  • jiwer ==2.2.0
  • lang-trans ==0.6.0
  • librosa ==0.8.0
  • torch >=1.5.0
  • torchaudio *
  • transformers *
examples/research_projects/xtreme-s/requirements.txt pypi
  • datasets >=1.18.0
  • jiwer *
  • librosa *
  • torch >=1.5
  • torchaudio *
examples/tensorflow/_tests_requirements.txt pypi
  • conllu * test
  • datasets >=1.13.3 test
  • elasticsearch * test
  • evaluate >=0.2.0 test
  • faiss-cpu * test
  • fire * test
  • git-python ==1.0.3 test
  • jiwer * test
  • librosa * test
  • matplotlib * test
  • nltk * test
  • pandas * test
  • protobuf * test
  • psutil * test
  • pytest * test
  • rouge-score * test
  • sacrebleu >=1.4.12 test
  • scikit-learn * test
  • sentencepiece * test
  • seqeval * test
  • streamlit * test
  • tensorboard * test
  • tensorflow <2.15 test
  • tensorflow_datasets * test
examples/tensorflow/benchmarking/requirements.txt pypi
  • tensorflow >=2.3
examples/tensorflow/contrastive-image-text/requirements.txt pypi
  • datasets >=1.8.0
  • tensorflow >=2.6.0
examples/tensorflow/image-classification/requirements.txt pypi
  • datasets >=1.17.0
  • evaluate *
  • tensorflow >=2.4
examples/tensorflow/language-modeling/requirements.txt pypi
  • datasets >=1.8.0
  • sentencepiece *
examples/tensorflow/language-modeling-tpu/requirements.txt pypi
  • datasets ==2.9.0
  • tokenizers ==0.13.2
  • transformers ==4.26.1
examples/tensorflow/multiple-choice/requirements.txt pypi
  • protobuf *
  • sentencepiece *
  • tensorflow >=2.3
examples/tensorflow/question-answering/requirements.txt pypi
  • datasets >=1.4.0
  • evaluate >=0.2.0
  • tensorflow >=2.3.0
examples/tensorflow/summarization/requirements.txt pypi
  • datasets >=1.4.0
  • evaluate >=0.2.0
  • tensorflow >=2.3.0
examples/tensorflow/text-classification/requirements.txt pypi
  • datasets >=1.1.3
  • evaluate >=0.2.0
  • protobuf *
  • sentencepiece *
  • tensorflow >=2.3
examples/tensorflow/token-classification/requirements.txt pypi
  • datasets >=1.4.0
  • evaluate >=0.2.0
  • tensorflow >=2.3.0
examples/tensorflow/translation/requirements.txt pypi
  • datasets >=1.4.0
  • evaluate >=0.2.0
  • tensorflow >=2.3.0
pyproject.toml pypi