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:
- 08c018412fe037c6c5302846ed6ba2b0c2898d88de82ce6ee6aced762ae3d9e6
- Size of remote file:
- 32.1 MB
- SHA256:
- 20cb2821ef4b92df67e5a0224690f90b42159831d29de8c0788073d7f9863113
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