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:
- 706bab9987b95d54f684a32eda082f0b7a9223cbfdae47b84e4fa3141db6fb01
- Size of remote file:
- 4.25 MB
- SHA256:
- 7d9b0c2c3d80601cd945472f82df3a22bd4602c01fab390a4a11493701e2e952
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