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:
- b13fb0866e6837a9b2b291b72f935c6bdc8db8f0280b63ace19e1bbad87d8c6b
- Size of remote file:
- 32.1 MB
- SHA256:
- 4d1b776216d5b5d28652bb3c4bf11a8fe2565fd3e5134fd10aaf370e8cb13c79
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