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:
- f4646ddd81d707533f1837e788df5cb07292b6ce872cbb5158bbe2e08afe01d9
- Size of remote file:
- 32.1 MB
- SHA256:
- 62b8cda1cb66410e4c4fcf6fe2c3744491d7e413ff623e4c7447e5bb6edab7db
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