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:
- a3be0c655e2bd9bba01c767b375be04f7353cb6aefa0bd8d78a5e32609cb9dca
- Size of remote file:
- 4.25 MB
- SHA256:
- 198e837114e6671c843d7a02dbf4a18f1e390d4107a1b84a587405a6958e6793
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