Text Classification
PEFT
English
reranking
information-retrieval
pointwise
lora
binary-cross-entropy
Instructions to use abdoelsayed/dear-8b-reranker-ce-lora-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abdoelsayed/dear-8b-reranker-ce-lora-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "abdoelsayed/dear-8b-reranker-ce-lora-v1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from abdoelsayed/dear-8b-reranker-ce-lora-v1: direct link, hf CLI and curl.
- Browser
- Download file 157 MB
-
https://huggingface.co/abdoelsayed/dear-8b-reranker-ce-lora-v1/resolve/main/adapter_model.bin
- Command line
-
hf download hf://abdoelsayed/dear-8b-reranker-ce-lora-v1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/abdoelsayed/dear-8b-reranker-ce-lora-v1/resolve/main/adapter_model.bin
157 MB
- Xet hash:
- 4d202fb74eb5aaa9771fc274215fdbe3bbd1d043104860a4c4e6bb87defca1d2
- Size of remote file:
- 157 MB
- SHA256:
- f52fd3fd3df18dd00c06b077f84d09a1b77d968cf47b6416083b8ce63023f6a5
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