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:
- b6ddb794d88ab49a32e78ced9cfecd33ed8ae698b7e7f8231a203015aac619a2
- Size of remote file:
- 33 MB
- SHA256:
- 6f62ae64375ffee86a0b3da3de069e384ecc32dea151ffc79e4b1aab557ef4f3
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