Update instructions on usage with infinity
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README.md
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@@ -2909,6 +2909,13 @@ async def main():
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asyncio.run(main())
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```
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### Usage for Reranker
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Different from embedding model, reranker uses question and document as input and directly output similarity instead of embedding.
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asyncio.run(main())
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```
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for a docker based deployment with infinity:
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```bash
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docker run --gpus all -v $PWD/data:/app/.cache -e HF_TOKEN=$HF_TOKEN -p "7997":"7997" \
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michaelf34/infinity:0.0.68 \
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v2 --model-id BAAI/bge-large-en-v1.5 --revision "main" --dtype float16 --batch-size 32 --engine torch --port 7997
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```
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### Usage for Reranker
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Different from embedding model, reranker uses question and document as input and directly output similarity instead of embedding.
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