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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d56ab00da528ac35030bb58830a853ef2d2c5eab8b40b5d6f18e895e353c65f
- Size of remote file:
- 32.1 MB
- SHA256:
- d5dd2c8e144ca559ec83d923ef00d517d6dfe8ac99472f4a1553969e10885c91
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