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:
- ba1730d4a4c633ecbfecc8cec4c808e667d574f61345fd3a56a234ac84920e22
- Size of remote file:
- 4.25 MB
- SHA256:
- d01eeac7779548616a9e47f2eee3295ad8a63e32e7ffd49210788c4d227b44e6
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