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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7b88d1809de3c64b8f0368fb50b37fa4e5efd14e05e5f2671fd6d2674b6073c
- Size of remote file:
- 4.24 MB
- SHA256:
- b319432d3868f8d3118479cdeb3be49ee5647e4f1b700b84d7deea92e90282cd
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