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:
- 94d7392f87cd80e303c8178302cbe19b6959982c206d76f2812b20b35188ec22
- Size of remote file:
- 64.1 MB
- SHA256:
- 63812c05b31294f904e7be82c6dd60118bbe9cfbaaf0e687aec15e4bdfc9eaa9
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