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bge-reranker-v2m3-lora – AI Model by minhnv7 | AlphaNeural AI

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minhnv7/
bge-reranker-v2m3-lora

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information-retrieval

text-classification

BAAI/bge-reranker-v2-m3

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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

python

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")