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:
- 3b7d7b746e386183f65c63c817b4ddda648e9456095c36cc285e02ca42e03333
- Size of remote file:
- 32.1 MB
- SHA256:
- c5f6810f9e7d9d681252db9c7215f3e2d49dc2c3281c57fed51a96d75bbf48a2
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