Token Classification
GLiNER
PyTorch
multilingual
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Update README.md

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@@ -255,6 +255,27 @@ Below is a comparison of results between previous versions of the model and the
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  | | ncbi | 70.17% | 61.44% | 65.52% |
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  | | **Average** | | | **47.00%** |
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  |-----------------------------------------|---------------------|-----------|--------|----------|
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Other available models
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  | | ncbi | 70.17% | 61.44% | 65.52% |
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  | | **Average** | | | **47.00%** |
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  |-----------------------------------------|---------------------|-----------|--------|----------|
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+ | gliner-community/gliner_xxl-v2.5 | ACE 2004 | | | 29.90% |
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+ | | ACE 2005 | | | 31.90% |
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+ | | AnatEM | | | 27.50% |
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+ | | Broad Tweet Corpus | | | 67.90% |
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+ | | CoNLL 2003 | | | 66.80% |
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+ | | FabNER | | | 25.90% |
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+ | | FindVehicle | | | 49.00% |
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+ | | GENIA_NER | | | 53.90% |
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+ | | HarveyNER | | | 26.40% |
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+ | | MultiNERD | | | 60.60% |
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+ | | Ontonotes | | | 28.40% |
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+ | | PolyglotNER | | | 42.00% |
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+ | | TweetNER7 | | | 40.90% |
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+ | | WikiANN en | | | 56.80% |
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+ | | WikiNeural | | | 72.20% |
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+ | | bc2gm | | | 48.60% |
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+ | | bc4chemd | | | 50.10% |
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+ | | bc5cdr | | | 71.20% |
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+ | | ncbi | | | 67.10% |
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+ | | **Average** | | | **48.30%** |
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+ |-----------------------------------------|---------------------|-----------|--------|----------|
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  ## Other available models
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