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:
- 822d703c30b9441571f0d0262018e14fee01aa5ef995aa21a77e5a9ca995d876
- Size of remote file:
- 32.1 MB
- SHA256:
- 3f5532b61d8c0cab6b791e80eeecc1b311a3e81287805363c05b16a03f2e29ce
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