CodeBrowser / python-package / transformers
transformers==5.14.1
# 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.
$ pip install transformers
downloads/wk
0
license
Apache 2.0 License
version
5.14.1
python
>=3.10.0
What is transformers?
The transformers package provides a unified framework for working with pre-trained machine learning models across text, vision, audio, and multimodal tasks. Developers use it to quickly integrate state-of-the-art models like LLMs and vision transformers into applications, or fine-tune them for custom use cases without building models from scratch. It supports both PyTorch-based inference and training workflows, with access to a model hub containing thousands of pre-trained weights.
Links
Homepage View on PyPI
Keywords
#machine-learning #nlp #python #pytorch #transformer #llm #vlm #deep-learning #inference #training #model-hub #pretrained-models #llama #gemma #qwen
Dependencies (79)
huggingface-hub numpy packaging pyyaml regex tokenizers typer safetensors tqdm torch accelerate torchvision Pillow torchaudio librosa pyctcdecode phonemizer av timm datasets ruff GitPython urllib3 libcst rich ty tomli transformers-mlinter hf-doc-builder kernels sentencepiece protobuf tiktoken blobfile mistral-common jinja2 scikit-learn faiss-cpu sagemaker deepspeed optuna codecarbon ray openai pydantic uvicorn fastapi starlette num2words optimum-benchmark fugashi ipadic unidic_lite unidic rhoknp sudachipy sudachidict_core pytest pytest-asyncio pytest-random-order pytest-rich pytest-xdist pytest-order pytest-rerunfailures pytest-timeout pytest-env timeout-decorator parameterized psutil dill evaluate rouge-score nltk sacremoses rjieba beautifulsoup4 tensorboard sacrebleu filelock
Author
The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)