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:
- b9309de9f9755e3f13ebcd23964fd8258da44154f6993a490496af40033eef93
- Size of remote file:
- 32.1 MB
- SHA256:
- e7ea63c1577f4f76c2942fb76a674028802947c7d6f6589a5bc7db93c4f930b7
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