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:
- 2b25f76d1e85b1fe5223e7752f405bd3b9b9903857748ee2403c28d55b8e504f
- Size of remote file:
- 32.1 MB
- SHA256:
- a4df83c5142f9ed4f30e11f7749c3fa3a5b273228988464b48521513d8f09e95
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