Instructions to use ShengdingHu/adapter_t5-base_rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/adapter_t5-base_rte with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShengdingHu/adapter_t5-base_rte", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc103f98b97248d6d1329c27a91ae6cb0bedfa79c93161989b2e5a74b048baf4
- Size of remote file:
- 7.55 MB
- SHA256:
- 34a57742ed2caa6b9524cfee5fd378ae07466cc0ecf5ac1021342d2d28f51d6c
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