[Model] Deprecate the score task (this will not affect users). (#37537)
Signed-off-by: wang.yuqi <yuqi.wang@daocloud.io>
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@@ -17,6 +17,8 @@ The key distinction between (sequence) classification and token classification l
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Many classification models support both (sequence) classification and token classification. For further details on token classification, please refer to [this page](token_classify.md).
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Only when a classification model outputs num_labels equal to 1 can it be used as a scoring model and have its scoring API enabled, please refer to [this page](scoring.md).
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## Typical Use Cases
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### Classification
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@@ -54,7 +56,7 @@ If your model is not in the above list, we will try to automatically convert the
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Cross-encoder (aka reranker) models are a subset of classification models that accept two prompts as input and output num_labels equal to 1. Most classification models can also be used as [cross-encoder models](scoring.md#cross-encoder-models). For more information on cross-encoder models, please refer to [this page](scoring.md).
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--8<-- "docs/models/pooling_models/scoring.md:supported-score-models"
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--8<-- "docs/models/pooling_models/scoring.md:supported-cross-encoder-models"
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### Reward Models
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