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:
- a8608d3bc35662d0d0e121db17ad2e5311da7f68e8c8331c259f210d74022d3c
- Size of remote file:
- 8.45 MB
- SHA256:
- 411b13cf1d905073a43ece9c83533f11ae74d1181a6536290329e91e9425c8ea
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