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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e5fe840e59114e95dfda400f3d37c989eb131d3f44a0f18bc6a2ba853abcfd4
- Size of remote file:
- 64.1 MB
- SHA256:
- 49844586fec2f525d2f774ce0a4469052b76722b71eacf84f623ca22c946c7ad
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