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:
- 5b479470b557f1bff57088768d41c41d063f366fe5113b30c639e28e5ea28246
- Size of remote file:
- 32.1 MB
- SHA256:
- ac5b98986c2324ddd6cfaad27e579254d011bc4f04dad4671f0974fe2881e8bd
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