Instructions to use ShengdingHu/adapter_t5-base_qqp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/adapter_t5-base_qqp with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShengdingHu/adapter_t5-base_qqp", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fba4d06c850b88aa2f4c397a33a42889562e7c7fc7e86924ea41ccee267390f
- Size of remote file:
- 7.55 MB
- SHA256:
- 3171d23747e361b4e4c635dad7009759251793d6f391d5685235ca19c913c373
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