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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e963c338009a0c44cd9e6206cd877f9a01c772dad7cab41de2ec9e222c71c14f
- Size of remote file:
- 64.1 MB
- SHA256:
- 1280bed1da823253cb73e10cf29823c5b7243251a32336c556a37df4e5e316f1
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