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:
- 9ecd88f2290dcfeacdc038ee72b2070f50b3d529e9266e87a42f9b06e88fede6
- Size of remote file:
- 64.1 MB
- SHA256:
- 295c7d38bd74d96f5d8cbb56e8bad9b3ca15246cb3401ce3bf8c30399e55e5c5
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