BGE-Reranker-v2-m3 LoRA for Multi-hop Path Ranking
Fine-tuned LoRA adapter for BAAI/bge-reranker-v2-m3.
Model Details
- Base Model: BAAI/bge-reranker-v2-m3 (568M)
- Adapter Type: LoRA
- Trainable Parameters: 1,247,233
Usage
from transformers import AutoTokenizer, AutoModelForSequenceClassification
from peft import PeftModel
base_model = AutoModelForSequenceClassification.from_pretrained(
"BAAI/bge-reranker-v2-m3", trust_remote_code=True
)
model = PeftModel.from_pretrained(base_model, "minhnv7/bge-reranker-v2m3-lora")
tokenizer = AutoTokenizer.from_pretrained("minhnv7/bge-reranker-v2m3-lora")
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BAAI/bge-reranker-v2-m3