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:
- 866de5adbc430da896d02e84c998adf88bc8eecb9b10acea9e6f0d24eb276c79
- Size of remote file:
- 64.1 MB
- SHA256:
- 524fff7cb79fb1c16ac9ad23b0eb11cf9805209c0145aa6c2f1f310caf01905a
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