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Author:
The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)
License:
Apache 2.0 License
Summary:
Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Latest version:
5.1.0
Required dependencies:
huggingface-hub
|
numpy
|
packaging
|
pyyaml
|
regex
|
safetensors
|
tokenizers
|
tqdm
|
typer-slim
Optional dependencies:
accelerate
|
av
|
beautifulsoup4
|
blobfile
|
codecarbon
|
datasets
|
deepspeed
|
dill
|
evaluate
|
faiss-cpu
|
fastapi
|
filelock
|
fugashi
|
gitpython
|
ipadic
|
jinja2
|
jmespath
|
kernels
|
libcst
|
librosa
|
mistral-common
|
nltk
|
num2words
|
openai
|
opentelemetry-api
|
opentelemetry-exporter-otlp
|
opentelemetry-sdk
|
optimum-benchmark
|
optuna
|
parameterized
|
phonemizer
|
pillow
|
protobuf
|
psutil
|
pyctcdecode
|
pydantic
|
pytest
|
pytest-asyncio
|
pytest-env
|
pytest-order
|
pytest-random-order
|
pytest-rerunfailures
|
pytest-rich
|
pytest-timeout
|
pytest-xdist
|
ray
|
rhoknp
|
rich
|
rjieba
|
rouge-score
|
ruff
|
sacrebleu
|
sacremoses
|
sagemaker
|
scikit-learn
|
sentencepiece
|
starlette
|
sudachidict_core
|
sudachipy
|
tensorboard
|
tiktoken
|
timeout-decorator
|
timm
|
torch
|
torchaudio
|
torchvision
|
unidic
|
unidic_lite
|
urllib3
|
uvicorn
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