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:
- bf1cf29c0c7e174df6b18514843d65a88b0a04b0d7b8a5d22c42002fdecc3cbf
- Size of remote file:
- 64.1 MB
- SHA256:
- 9466a13af67ba730f429d0bc990a3cf7f4e0f6a5951a062b0aa58531838b8297
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