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transformers


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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: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Latest version: 4.51.3
Required dependencies: filelock | huggingface-hub | numpy | packaging | pyyaml | regex | requests | safetensors | tokenizers | tqdm
Optional dependencies: accelerate | av | beautifulsoup4 | blobfile | codecarbon | cookiecutter | datasets | deepspeed | diffusers | dill | evaluate | faiss-cpu | fastapi | filelock | flax | ftfy | fugashi | gitpython | hf-xet | huggingface-hub | importlib-metadata | ipadic | isort | jax | jaxlib | kenlm | keras | keras-nlp | kernels | libcst | librosa | natten | nltk | num2words | numpy | onnxconverter-common | onnxruntime | onnxruntime-tools | opencv-python | optax | optimum-benchmark | optuna | packaging | parameterized | phonemizer | pillow | protobuf | psutil | pyctcdecode | pydantic | pytest | pytest-asyncio | pytest-order | pytest-rerunfailures | pytest-rich | pytest-timeout | pytest-xdist | ray | regex | requests | rhoknp | rich | rjieba | rouge-score | ruff | sacrebleu | sacremoses | sagemaker | scikit-learn | scipy | sentencepiece | sigopt | starlette | sudachidict-core | sudachipy | tensorboard | tensorflow | tensorflow-cpu | tensorflow-probability | tensorflow-text | tf2onnx | tiktoken | timeout-decorator | timm | tokenizers | torch | torchaudio | torchvision | tqdm | unidic | unidic-lite | urllib3 | uvicorn

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10-2110-2811-0411-1111-1811-2512-0212-0912-1612-2312-3001-0601-1301-2001-2702-0302-1002-1702-2403-0303-1003-1703-2403-3104-0704-140500,0001,000,0001,500,0002,000,0002,500,000
With_MirrorsWithout_Mirrors30d60d90d120dallDaily Download Quantity of transformers package - OverallDateDownloads
10-2110-2811-0411-1111-1811-2512-0212-0912-1612-2312-3001-0601-1301-2001-2702-0302-1002-1702-2403-0303-1003-1703-2403-3104-0704-140500,0001,000,0001,500,0002,000,0002,500,000
23Null30d60d90d120dallDaily Download Quantity of transformers package - Python MajorDateDownloads
10-2110-2811-0411-1111-1811-2512-0212-0912-1612-2312-3001-0601-1301-2001-2702-0302-1002-1702-2403-0303-1003-1703-2403-3104-0704-140%20%40%60%80%100%
23Null30d60d90d120dallDaily Download Proportions of transformers package - Python MajorDateDownload Proportion
10-2110-2811-0411-1111-1811-2512-0212-0912-1612-2312-3001-0601-1301-2001-2702-0302-1002-1702-2403-0303-1003-1703-2403-3104-0704-140500,0001,000,0001,500,000
2.73.103.113.123.133.143.33.43.53.63.73.83.9Null30d60d90d120dallDaily Download Quantity of transformers package - Python MinorDateDownloads
10-2110-2811-0411-1111-1811-2512-0212-0912-1612-2312-3001-0601-1301-2001-2702-0302-1002-1702-2403-0303-1003-1703-2403-3104-0704-140%20%40%60%80%100%
2.73.103.113.123.133.143.33.43.53.63.73.83.9Null30d60d90d120dallDaily Download Proportions of transformers package - Python MinorDateDownload Proportion
10-2110-2811-0411-1111-1811-2512-0212-0912-1612-2312-3001-0601-1301-2001-2702-0302-1002-1702-2403-0303-1003-1703-2403-3104-0704-140500,0001,000,0001,500,0002,000,0002,500,000
DarwinLinuxWindowsNullOther30d60d90d120dallDaily Download Quantity of transformers package - SystemDateDownloads
10-2110-2811-0411-1111-1811-2512-0212-0912-1612-2312-3001-0601-1301-2001-2702-0302-1002-1702-2403-0303-1003-1703-2403-3104-0704-140%20%40%60%80%100%
DarwinLinuxWindowsNullOther30d60d90d120dallDaily Download Proportions of transformers package - SystemDateDownload Proportion