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:
- 18282d7871e9376c40cabbb2a85ac2b944b2e74a2a414adcf0f1f3affed7f1e0
- Size of remote file:
- 64.1 MB
- SHA256:
- c033e608794b843910dc0223ef8c654c63ec3576ec64f296ff5831ee2af71c42
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