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:
- c0666b2341c13edbb96a8b3714238badf067b9047fb60d18e4c4a8f36860ba45
- Size of remote file:
- 32.1 MB
- SHA256:
- 75d2a4e61e364711237b75a42dfd6e4189e1a21495486e68542c8d902a6a49f6
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