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:
- 719f15f0dab796cb745d44bf49ba36d56ebe98e1f5119b33977afecc3a138c62
- Size of remote file:
- 32.1 MB
- SHA256:
- 781fd6ca0e15118e0db9bdf27f40a61715204d6cbf311d836358e8a45fb0c959
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