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:
- e61cb6bc2ae9073bc36b9ee9bab909b3b3f359eb76f017f250f2e9ca4b5fe70a
- Size of remote file:
- 4.25 MB
- SHA256:
- a879579f2b3ed1cdc9aa4288d473c29f9a8c9365ff5bd947b8d7836471f7ab6e
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