transformers/examples/tensorflow
2024-01-12 16:56:34 +00:00
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benchmarking Apply ruff flake8-comprehensions (#21694) 2023-02-22 09:14:54 +01:00
contrastive-image-text Dev version 2023-12-13 18:29:31 +01:00
image-classification Set cache_dir for evaluate.load() in example scripts (#28422) 2024-01-11 15:38:44 +01:00
language-modeling Broken links fixed related to datasets docs (#27569) 2023-11-17 13:44:09 -08:00
language-modeling-tpu Add an option to reduce compile() console spam (#23938) 2023-06-02 15:28:52 +01:00
multiple-choice Dev version 2023-12-13 18:29:31 +01:00
question-answering Set cache_dir for evaluate.load() in example scripts (#28422) 2024-01-11 15:38:44 +01:00
summarization Set cache_dir for evaluate.load() in example scripts (#28422) 2024-01-11 15:38:44 +01:00
text-classification Set cache_dir for evaluate.load() in example scripts (#28422) 2024-01-11 15:38:44 +01:00
token-classification Set cache_dir for evaluate.load() in example scripts (#28422) 2024-01-11 15:38:44 +01:00
translation Set cache_dir for evaluate.load() in example scripts (#28422) 2024-01-11 15:38:44 +01:00
_tests_requirements.txt Update the TF pin for 2.15 (#27375) 2023-11-16 13:47:43 +00:00
README.md TF: purge TFTrainer (#28483) 2024-01-12 16:56:34 +00:00
test_tensorflow_examples.py Proposed fix for TF example now running on safetensors. (#23208) 2023-05-09 13:04:27 -04:00

Examples

This folder contains actively maintained examples of the use of 🤗 Transformers organized into different ML tasks. All examples in this folder are TensorFlow examples and are written using native Keras. If you've previously only used 🤗 Transformers via TFTrainer, we highly recommend taking a look at the new style - we think it's a big improvement!

In addition, all scripts here now support the 🤗 Datasets library - you can grab entire datasets just by changing one command-line argument!

A note on code folding

Most of these examples have been formatted with #region blocks. In IDEs such as PyCharm and VSCode, these blocks mark named regions of code that can be folded for easier viewing. If you find any of these scripts overwhelming or difficult to follow, we highly recommend beginning with all regions folded and then examining regions one at a time!

The Big Table of Tasks

Here is the list of all our examples:

Task Example datasets
language-modeling WikiText-2
multiple-choice SWAG
question-answering SQuAD
summarization XSum
text-classification GLUE
token-classification CoNLL NER
translation WMT

Coming soon

  • Colab notebooks to easily run through these scripts!