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:
- a53db533e536e7a91e8d2fb071ab600de945c9820da6c7ffa49fdee74d970068
- Size of remote file:
- 32.1 MB
- SHA256:
- 058ddca4706bedc4082a23b0efceb97422fa4c4e2ee851177850047cfaa724f4
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