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:
- 193174854e36c37f28ed5a945c7d8504d3911cefbd3c8a8440b9d4c3d9ff2e87
- Size of remote file:
- 64.1 MB
- SHA256:
- c26559e3b3fac8b5bd1dbfd1ed8514d69cf25eea47bda8e5191eb80fe2f69142
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