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@@ -4716,6 +4716,15 @@ print(scores.tolist())
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  # [[0.301699697971344, 0.7503870129585266, 0.32030850648880005]]
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  ```
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  ### Use with custom code to get dense embeddigns and sparse token weights
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  ```python
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  # You can find the script gte_embedding.py in https://huggingface.co/Alibaba-NLP/gte-multilingual-base/blob/main/scripts/gte_embedding.py
 
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  # [[0.301699697971344, 0.7503870129585266, 0.32030850648880005]]
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  ```
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+ ### Use with infinity
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+
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+ Usage via docker and [infinity](https://github.com/michaelfeil/infinity), MIT Licensed.
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+ ```
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+ docker run --gpus all -v $PWD/data:/app/.cache -p "7997":"7997" \
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+ michaelf34/infinity:0.0.69 \
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+ v2 --model-id Alibaba-NLP/gte-multilingual-base --revision "main" --dtype float16 --batch-size 32 --device cuda --engine torch --port 7997
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+ ```
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+
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  ### Use with custom code to get dense embeddigns and sparse token weights
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  ```python
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  # You can find the script gte_embedding.py in https://huggingface.co/Alibaba-NLP/gte-multilingual-base/blob/main/scripts/gte_embedding.py