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:
- 729bab34a3e3b529e0a31afeec89bfba1720235c783b2c2a391f290575bcddd9
- Size of remote file:
- 32.1 MB
- SHA256:
- f0ed0ace1b059ff12c2ca41e7cb65c1e6e446791c026838e78ad7c92c056643c
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