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:
- 2b598c6c1158acf8ae13b9d8bfbf41d1ba2bcfac94e6a346900d1ade7668fea8
- Size of remote file:
- 4.25 MB
- SHA256:
- 7324e61124d8fd056315bf97337bb0160a09bb3e596c90b11d7365180c2e1618
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