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:
- b163b8fa1fa820981905277ee6a2661a03e04200d6cef9dc408edda4fd14370f
- Size of remote file:
- 33 MB
- SHA256:
- 1176ba148a5fea6aabe1c113640bdde6c0ce0fa2223d7ed7e2f63c569d0bd885
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