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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ceb1aa09053eb1340084b0795d6b66796c54947cac1fded6afed7946fd42827a
- Size of remote file:
- 64.1 MB
- SHA256:
- 7dc1381672bdd8ea15cfb2f1033c9dc04fd5cbf1789c835aa11caa58dbca2352
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