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:
- abe3904d95658af80a771f3129d3f299b698840cec76363c127b140326c8ae55
- Size of remote file:
- 64.1 MB
- SHA256:
- c58f01d6e830a4a4e7a083e0664f472d3c523faf3b3a9fd6e8ce2dda4d373455
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