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:
- 0f54564a26f63350988d0766078a899971c7278d46975085fbcdbeaaa5afc2d5
- Size of remote file:
- 32.1 MB
- SHA256:
- ed2f51afa2efb185e4271d784ab3383a64177670a7ba02a1132d8a8c45400cb7
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