Instructions to use ShengdingHu/lora_t5-base_stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/lora_t5-base_stsb with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShengdingHu/lora_t5-base_stsb", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6419209be616f0916c0604673a205ee11a63bbd30a5fb53d4d353ab93f306853
- Size of remote file:
- 2.63 MB
- SHA256:
- 2e71577226b4e1d5e3773387859f650bf136c889e28405f46d5250ced1d6b1e8
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