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:
- 2d39870dff02cb70c7990fdad302c24d0824f33e2b77e0fd6cb5ed1cf173fa93
- Size of remote file:
- 33 MB
- SHA256:
- 8038cf37d02d68d2e95349e5c765dc62bc3e192c3d473467a79173516fc9aab3
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