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:
- be9459d85043b4191d6875cc3de026ac6dcb93dc642818526a2f3fe1d3ea3fd7
- Size of remote file:
- 32.1 MB
- SHA256:
- a61818496d62a259a45cf102a44681d630cf18019a87c7584729af59b078cc82
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