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:
- aa4c0cefbf6cdb7a4b193dafca873be0e1d47bb08f1c395356d212d3c4960755
- Size of remote file:
- 64.1 MB
- SHA256:
- 09e1473cef5e20744dc162bafc9d2c86ec2116eaf6c142076328aaa0ee3350c1
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