pip install transformers==4.12.3
State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch
SourceAmong top 1000 packages on PyPI.
Over 9.2M downloads in the last 90 days.
transformers
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
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Fast and Customizable Tokenizers |
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Text-to-text transfer transformer |
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TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models. |
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tensorflow/datasets is a library of datasets ready to use with TensorFlow. |
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Pure python implementation of ROUGE-1.5.5. |
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TF-GAN: A Generative Adversarial Networks library for TensorFlow. |
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TF.Text is a TensorFlow library of text related ops, modules, and subgraphs. |
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Conditionally enter a context manager |
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Hassle-free computation of shareable, comparable, and reproducible BLEU, chrF, and TER scores |
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Python library for Apache Arrow |
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TensorFlow-Slim: A lightweight library for defining, training and evaluating complex models in TensorFlow |
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SentencePiece python wrapper |
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K-FAC for TensorFlow |
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Mesh TensorFlow |
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Relief-based feature selection algorithms |
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Upload data to a Midas Server application with Python. |
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TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models. |
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scripts for parsing the wikimedia xml dumps files |
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A library for Probabilistic Graphical Models |
transformersProportion of downloaded versions in the last 3 months (only versions over 1%).
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4.2.2 |
10.24% |
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4.9.2 |
9.88% |
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4.11.3 |
8.63% |
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4.6.0 |
6.82% |
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4.6.1 |
5.11% |
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4.10.2 |
5.05% |
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4.4.2 |
4.20% |
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3.0.2 |
4.09% |
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4.10.0 |
4.02% |
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3.3.1 |
3.54% |
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3.5.1 |
3.36% |
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4.10.3 |
2.70% |
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4.11.2 |
2.53% |
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4.5.1 |
2.45% |
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2.11.0 |
2.36% |
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4.9.1 |
1.95% |
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4.8.2 |
1.83% |
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4.12.2 |
1.71% |
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2.3.0 |
1.47% |
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4.12.3 |
1.40% |
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4.1.1 |
1.19% |
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4.3.3 |
1.08% |
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3.1.0 |
1.07% |