Instructions to use hf-internal-testing/tiny-random-UMT5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UMT5EncoderModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-UMT5EncoderModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-UMT5EncoderModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 390779cb79522d0aaec8a0fb59319e5eb4898886930bce9d6f89019b2a4d84f8
- Size of remote file:
- 33 MB
- SHA256:
- 1fcf6849f665ca02e319fd22c45de1c619576da80d6ae0a388ad9d1f0b325b26
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