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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>
58 lines
1.7 KiB
Markdown
58 lines
1.7 KiB
Markdown
# Pooling models
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## Convert llm model to seq cls
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```bash
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# for BAAI/bge-reranker-v2-gemma
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# Caution: "Yes" and "yes" are two different tokens
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python examples/offline_inference/pooling/convert_model_to_seq_cls.py --model_name BAAI/bge-reranker-v2-gemma --classifier_from_tokens '["Yes"]' --method no_post_processing --path ./bge-reranker-v2-gemma-seq-cls
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# for mxbai-rerank-v2
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python examples/offline_inference/pooling/convert_model_to_seq_cls.py --model_name mixedbread-ai/mxbai-rerank-base-v2 --classifier_from_tokens '["0", "1"]' --method from_2_way_softmax --path ./mxbai-rerank-base-v2-seq-cls
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# for Qwen3-Reranker
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python examples/offline_inference/pooling/convert_model_to_seq_cls.py --model_name Qwen/Qwen3-Reranker-0.6B --classifier_from_tokens '["no", "yes"]' --method from_2_way_softmax --path ./Qwen3-Reranker-0.6B-seq-cls
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```
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## Embed jina_embeddings_v3 usage
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Only text matching task is supported for now. See <https://github.com/vllm-project/vllm/pull/16120>
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```bash
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python examples/offline_inference/pooling/embed_jina_embeddings_v3.py
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```
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## Embed matryoshka dimensions usage
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```bash
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python examples/offline_inference/pooling/embed_matryoshka_fy.py
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```
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## Multi vector retrieval usage
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```bash
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python examples/offline_inference/pooling/multi_vector_retrieval.py
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```
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## Named Entity Recognition (NER) usage
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```bash
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python examples/offline_inference/pooling/ner.py
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```
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## Prithvi Geospatial MAE usage
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```bash
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python examples/offline_inference/pooling/prithvi_geospatial_mae.py
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```
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## IO Processor Plugins for Prithvi Geospatial MAE
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```bash
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python examples/offline_inference/pooling/prithvi_geospatial_mae_io_processor.py
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```
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## Qwen3 reranker usage
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```bash
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python examples/offline_inference/pooling/qwen3_reranker.py
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```
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