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multilingual-e5-large

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  1. .gitattributes +7 -0
  2. multilingual-e5-large-instruct/.gitattributes +37 -0
  3. multilingual-e5-large-instruct/1_Pooling/config.json +9 -0
  4. multilingual-e5-large-instruct/README.md +0 -0
  5. multilingual-e5-large-instruct/config.json +28 -0
  6. multilingual-e5-large-instruct/config_sentence_transformers.json +7 -0
  7. multilingual-e5-large-instruct/model.safetensors +3 -0
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  9. multilingual-e5-large-instruct/onnx/config.json +29 -0
  10. multilingual-e5-large-instruct/onnx/model.onnx +3 -0
  11. multilingual-e5-large-instruct/onnx/model.onnx_data +3 -0
  12. multilingual-e5-large-instruct/onnx/sentencepiece.bpe.model +3 -0
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  14. multilingual-e5-large-instruct/onnx/tokenizer.json +3 -0
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  16. multilingual-e5-large-instruct/sentence_xlm-roberta_config.json +4 -0
  17. multilingual-e5-large-instruct/sentencepiece.bpe.model +3 -0
  18. multilingual-e5-large-instruct/source.txt +1 -0
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  20. multilingual-e5-large-instruct/tokenizer.json +3 -0
  21. multilingual-e5-large-instruct/tokenizer_config.json +55 -0
  22. multilingual-e5-large-onnx/.gitattributes +37 -0
  23. multilingual-e5-large-onnx/README.md +35 -0
  24. multilingual-e5-large-onnx/config.json +28 -0
  25. multilingual-e5-large-onnx/model.onnx +3 -0
  26. multilingual-e5-large-onnx/model.onnx_data +3 -0
  27. multilingual-e5-large-onnx/sentencepiece.bpe.model +3 -0
  28. multilingual-e5-large-onnx/source.txt +1 -0
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  30. multilingual-e5-large-onnx/tokenizer.json +3 -0
  31. multilingual-e5-large-onnx/tokenizer_config.json +54 -0
  32. multilingual-e5-large-quantized/.gitattributes +37 -0
  33. multilingual-e5-large-quantized/README.md +0 -0
  34. multilingual-e5-large-quantized/config.json +27 -0
  35. multilingual-e5-large-quantized/onnx/model.onnx +3 -0
  36. multilingual-e5-large-quantized/onnx/model.onnx_data +3 -0
  37. multilingual-e5-large-quantized/onnx/model_quantized.onnx +3 -0
  38. multilingual-e5-large-quantized/quantize_config.json +36 -0
  39. multilingual-e5-large-quantized/sentencepiece.bpe.model +3 -0
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  42. multilingual-e5-large-quantized/tokenizer.json +3 -0
  43. multilingual-e5-large-quantized/tokenizer_config.json +19 -0
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+ ---
2
+ license: apache-2.0
3
+ pipeline_tag: sentence-similarity
4
+ ---
5
+
6
+ ONNX port of [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) for text classification and similarity searches.
7
+
8
+ ### Usage
9
+
10
+ Here's an example of performing inference using the model with [FastEmbed](https://github.com/qdrant/fastembed).
11
+
12
+ ```py
13
+ from fastembed import TextEmbedding
14
+
15
+ documents = [
16
+ "You should stay, study and sprint.",
17
+ "History can only prepare us to be surprised yet again.",
18
+ ]
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+
20
+ model = TextEmbedding(model_name="intfloat/multilingual-e5-large")
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+ embeddings = list(model.embed(documents))
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+
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+ # [
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+ # array([
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+ # 0.00611658, 0.00068912, -0.0203846, ..., -0.01751488, -0.01174267,
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+ # 0.01463472
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+ # ],
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+ # dtype=float32),
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+ # array([
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+ # 0.00173448, -0.00329958, 0.01557874, ..., -0.01473586, 0.0281806,
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+ # -0.00448205
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+ # ],
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+ # dtype=float32)
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+ # ]
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+ ```
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