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:
- b40a05e67c0aa89f64930e93df74486764b036a5eb5884a39f5a6b891483b235
- Size of remote file:
- 64.1 MB
- SHA256:
- 2261351e954e7abf88f9224dd5516051b8837f06b3e0ba05f6cdfae57ce38da7
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