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:
- 28cd2bd4859c1bae3a017824fcae55ce048f041a6068403c128b96139f1ca8cd
- Size of remote file:
- 32.1 MB
- SHA256:
- dc14dab96b5de21eb60c928a3adcde914241c21c2146d46f14ad68f81e35c4ff
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