Instructions to use hf-internal-testing/tiny-random-T5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-T5EncoderModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-T5EncoderModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-T5EncoderModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89ea77b29a6c78c0bb1933f5d354534cb027c7fa7b118a12832d3ecaab24f819
- Size of remote file:
- 8.45 MB
- SHA256:
- 29a7d171a18a79aab26749b409e8b541c7ccc502d907b6344e0ea2836c989ce2
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