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:
- e60d1abb903ad64755167720de0dfe0a7669e1e0769e8e458ee780f87cc53127
- Size of remote file:
- 32.1 MB
- SHA256:
- d26f7540057b22d131c8f2ed61f2d812fc2698a344da85f5f40504b30b42799b
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