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:
- c4e15e9406d40430e4ea62ae7b7d9f8108309d0bd4369c3b2080ed725a32c3c7
- Size of remote file:
- 32.1 MB
- SHA256:
- 62a5361515a7654bc44f8bea9dc12898cd532a451b6e79d8d35f4dab5864289f
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