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:
- 1f6f247b45c107aec63f413fbec86ab02f6c04ed5561cd026fa04c14539a67c0
- Size of remote file:
- 8.45 MB
- SHA256:
- 232d518a5c8033b142379e90a51536dc7b8e82dcb8aece7b4825ea5d563f9773
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