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:
- d2ff357ba62126a3f954e701fe462245c70e1a41f9f2a3fc68bee2f9d05e0078
- Size of remote file:
- 64.1 MB
- SHA256:
- 54e81c2360b730faa8f91ac97076abe71538b876d01b43b2ac6656ad29f43bbc
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