Token Classification
GLiNER
PyTorch
multilingual
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Update README.md

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@@ -10,6 +10,7 @@ pipeline_tag: token-classification
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  Finetuned for way too short on the following PII categories:
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  PII_CATEGORIES = [
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  "prefix", "person name",
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  "job title", "company name", "job area",
@@ -23,10 +24,11 @@ PII_CATEGORIES = [
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  "religious belief", "nationality",
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  "sexual orientation", "medical condition", "age",
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  ]
 
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  On these languages (the ones contained in Whisper):
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-
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  LANGUAGES = {
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  "en": "english",
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  "zh": "chinese",
@@ -129,4 +131,4 @@ LANGUAGES = {
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  "su": "sundanese",
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  "yue": "cantonese",
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  }
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-
 
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  Finetuned for way too short on the following PII categories:
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+ ```python
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  PII_CATEGORIES = [
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  "prefix", "person name",
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  "job title", "company name", "job area",
 
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  "religious belief", "nationality",
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  "sexual orientation", "medical condition", "age",
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  ]
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+ ```
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  On these languages (the ones contained in Whisper):
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+ ```python
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  LANGUAGES = {
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  "en": "english",
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  "zh": "chinese",
 
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  "su": "sundanese",
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  "yue": "cantonese",
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  }
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+ ```