Instructions to use ShengdingHu/lora_t5-base_rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/lora_t5-base_rte with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShengdingHu/lora_t5-base_rte", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df037088960c3307892eadb02201fbc62e7a22002ea4952a01b43be77c862622
- Size of remote file:
- 2.63 MB
- SHA256:
- 1d7b19871021373833e78df78437f8365165ac8769be85073c96b670815f0985
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