Install pip install t-draft-123Copy Adoption
Adoption — Not published by PyPI Not published
Popularity — Not published by PyPI Not published
Dependents — Not published by PyPI Not published
Maintenance 0.20 Derived Release cadence and recency, 0 to 1
Releases per year 1825 5 versions over its life Growth by period PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
7 days — Not published by PyPI Not published
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1 year — Not published by PyPI Not published Adoption history PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
Latest version v4.48.0.dev4 5 versions
First published JAN 7, 2025
Last release JAN 8, 2025 22mo ago
Licence Apache 2.0 License Repository In the Crest catalog
🤗 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.
Language Python
Last push 22d ago
Last release 24d ago Dependencies latest version · v4.48.0.dev4 Runtime 10 filelock Any version huggingface-hub <1.0,>=0.24.0numpy >=1.17packaging >=20.0pyyaml >=5.1regex !=2019.12.17requests Any version safetensors >=0.4.1tokenizers <0.22,>=0.21tqdm >=4.27divyanx-transformers State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Published from the same repository mcwtransformers State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Published from the same repository my-transformers State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Published from the same repository rlinf-transformer-openpi State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Published from the same repository transformers 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. Published from the same repository transformers-kt 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. Published from the same repository tf-nightly TensorFlow is an open source machine learning framework for everyone. Same primary category diffusers State-of-the-art diffusion in PyTorch. Same primary category sagemaker Open source library for training and deploying models on Amazon SageMaker. Same primary category sagemaker-train Open source library for training and deploying models on Amazon SageMaker. Same primary category jax Differentiate, compile, and transform Numpy code. Same primary category jaxlib XLA library for JAX Same primary category Related news 32d ago SEP 22, 2026 4mo ago JUL 8, 2026 