Instructions to use abdoelsayed/dear-3b-reranker-ranknet-lora-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abdoelsayed/dear-3b-reranker-ranknet-lora-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.2-3B") model = PeftModel.from_pretrained(base_model, "abdoelsayed/dear-3b-reranker-ranknet-lora-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 330e13e9e419a993be5014bbdce354342e24496f48a0020f956c4d54529a3613
- Size of remote file:
- 90 MB
- SHA256:
- 3c8441c7ca8169c9f9a5021760d50b8be1b64721747396fecb494ef8aee3ff23
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