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:
- 330184fd6fad70b40d003273e3a45f288de5e4447e1dc7eb5fe8ff5afe01f27e
- Size of remote file:
- 64.1 MB
- SHA256:
- 567320f5f17888dd82ae3c0a8d70457882112feda15ba2fd6711918065852d97
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