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:
- 875c4a2d228b643484266c5bd5c7ecd7eb1edca8a0edf2c827c1ca6433af14f4
- Size of remote file:
- 64.1 MB
- SHA256:
- 4db664895f653b294789e9a1cd24629b54a4e54aa5012880ae7ff66b5c837aae
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