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:
- a9fdf1c8b75be9994c0022c7bb4fd0d2f9ff97b8445f6ef8502ef285396bb408
- Size of remote file:
- 33 MB
- SHA256:
- 12d098e03c1cfc6d7bf80261387b52aa0dbd0c15b17e87dd0cd2792ea949d78f
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