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:
- 35a27ecdef2aac17931b950c442dc93bbdcbaa2651628c4ae78d98d75e7bb3dc
- Size of remote file:
- 33 MB
- SHA256:
- 9edaa179a10341b14b27d6fe50af10db03e21ad588ceb979adaca82ee8dfe7f4
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