[Doc] docs: fix note formatting for pooling models (#47701)
Signed-off-by: Sungjae Lee <33976427+llsj14@users.noreply.github.com> Signed-off-by: Sungjae Lee <sung-jae.lee@navercorp.com>
Sungjae Lee committed
Jul 6, 2026 at 18:01 UTC
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docs/models/pooling_models/README.md
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@@ -2,8 +2,7 @@
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!!! note
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We currently support pooling models primarily for convenience. This is not guaranteed to provide any performance
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-improvements over using Hugging Face Transformers or Sentence Transformers directly.
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-
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+ improvements over using Hugging Face Transformers or Sentence Transformers directly.
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We plan to optimize pooling models in vLLM. Please comment on <https://github.com/vllm-project/vllm/issues/21796> if you have any suggestions!
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## What are pooling models?
@@ -63,7 +62,7 @@ please refer to [IO Processor Plugins](../../design/io_processor_plugins.md).
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!!! note
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Within classification tasks, there is a specialized subcategory: Cross-encoder (aka reranker) models. These models
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-are a subset of classification models that accept two prompts as input and output num_labels equal to 1.
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+ are a subset of classification models that accept two prompts as input and output num_labels equal to 1.
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### Pooling Types
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