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:
- 86bd78a687d0dbb807c5fd2decd0c098ff8dcb34ac6f5269deeba7acc4bed4d2
- Size of remote file:
- 64.1 MB
- SHA256:
- 908660176f7180ef272b8cc151b10a4b7307cc01ea035aba5c0df44f64cca457
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