baai/bge-reranker-v2-m3
baai/bge-reranker-v2-m3
baai/bge-reranker-v2-m3 is a lightweight multi-language re-ranking model. Developed based on the bge-m3 model, it has strong multilingual capabilities, ease of deployment, and fast inference speed. This model takes query and document as input and directly outputs a similarity score, rather than an embedding vector. It is well-suited for multi-language scenarios, particularly excelling in Chinese and English processing.
Features
Serverless API
Docs
baai/bge-reranker-v2-m3 is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.
Available Serverless
Run queries immediately, pay only for usage
Input$0.01 / M Tokens
Output$0.01 / M Tokens
Use the following code examples to integrate with our API:
1import requests
2
3url = "https://api.novita.ai/openai/v1/rerank"
4headers = {
5 "Authorization": "Bearer <Your API Key>",
6 "Content-Type": "application/json"
7}
8payload = {
9 "model": "baai/bge-reranker-v2-m3",
10 "query": "What is the capital of France?",
11 "documents": [
12 "Paris is the capital of France.",
13 "Berlin is the capital of Germany."
14 ],
15 "top_n": 2
16}
17
18response = requests.post(url, headers=headers, json=payload)
19print(response.json())Info
Provider
BAAI
Quantization
-
Supported Functionality
Context Length
8K
Max Output
8K
Serverless
Supported
Input Capabilities
text
Output Capabilities
text
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