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:
- 88c03f72479fcc9047b670d46372c0eb5c7253f8a46fd6e9a7252b47bd900fc1
- Size of remote file:
- 64.1 MB
- SHA256:
- 9d62684e849128db0c62fdaf43e672aedf5b56bfdd870ff0f1782e8cda872bd1
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