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:
- 4c8c0d2ec041ba9841098b883913fbc2b8a7f0defd03295c18d2d8cac1f698fc
- Size of remote file:
- 8.45 MB
- SHA256:
- 403a6e80ba10f41c6d006cd92b8948e32dbbf15ec9b981bba19443e0397a3117
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