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.
价格
| 输入 | $0.01/百万 tokens |
| 输出 | $0.01/百万 tokens |
使用以下代码示例来集成我们的API：
1from openai import OpenAI
2
3client = OpenAI(
4 api_key="<Your API Key>",
5 base_url="https://api.jiekou.ai/openai"
6)
7
8response = client.chat.completions.create(
9 model="baai/bge-reranker-v2-m3",
10 messages=[
11 {"role": "system", "content": "You are a helpful assistant."},
12 {"role": "user", "content": "Hello, how are you?"}
13 ],
14 max_tokens=8000,
15 temperature=0.7
16)
17
18print(response.choices[0].message.content)信息
提供商
量化
-
支持的功能
上下文长度
8000
最大输出
8000
Input Capabilities
text
Output Capabilities
text