Instructions to use hf-internal-testing/tiny-random-MT5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MT5EncoderModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MT5EncoderModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MT5EncoderModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 674f47b8ba4af91e1b937a1557fc2b4545b2a627ac82a0eb8fbf6486219b5a6c
- Size of remote file:
- 32.1 MB
- SHA256:
- 99bff8a5745397a4cace7f6a21cd1230b4727b2e106e6df6af014aaf4f2ab877
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