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:
- a33a5b8779521f2d6ce37a127dd04fa0e1691f7db1938dc3b257f0394cc1a12a
- Size of remote file:
- 8.45 MB
- SHA256:
- b10d1b76647ba23ab3ada75a13943da9681344f416c608dffc177484d1a4ea25
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