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[Frontend][Doc][5/N] Improve all pooling task | Polish encode (pooling) api & Document. (#25524)

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Signed-off-by: wang.yuqi <noooop@126.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com>
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wang.yuqi
2025-10-30 20:13:05 +08:00
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parent 74374386e2
commit 4464723f22
27 changed files with 499 additions and 131 deletions
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4
docs/serving/openai_compatible_server.md
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@ -638,7 +638,7 @@ Usually, the score for a sentence pair refers to the similarity between two sent
You can find the documentation for cross encoder models at [sbert.net](https://www.sbert.net/docs/package_reference/cross_encoder/cross_encoder.html).
Code example: [examples/online_serving/openai_cross_encoder_score.py](../../examples/online_serving/openai_cross_encoder_score.py)
Code example: [examples/online_serving/pooling/openai_cross_encoder_score.py](../../examples/online_serving/pooling/openai_cross_encoder_score.py)
#### Single inference
@ -819,7 +819,7 @@ You can pass multi-modal inputs to scoring models by passing `content` including
print("Scoring output:", response_json["data"][0]["score"])
print("Scoring output:", response_json["data"][1]["score"])
```
Full example: [examples/online_serving/openai_cross_encoder_score_for_multimodal.py](../../examples/online_serving/openai_cross_encoder_score_for_multimodal.py)
Full example: [examples/online_serving/pooling/openai_cross_encoder_score_for_multimodal.py](../../examples/online_serving/pooling/openai_cross_encoder_score_for_multimodal.py)
#### Extra parameters