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Update README.md

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@@ -29,11 +29,11 @@ ConfliBERT is a transformer model pretrained on a vast corpus of texts related t
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  ConfliBERT has several variants, each fine-tuned on specific datasets to cater to different use cases within the domain of political conflict and violence:
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  - **ConfliBERT-scr-uncased-BBC_News** (Binary Classification)
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  - **ConfliBERT-cont-cased-BBC_News** (Binary Classification)
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- - **ConfliBERT-scr-uncased-20news**
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- - **ConfliBERT-cont-cased-20news**
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  - **ConfliBERT-re3d-ner** (Named Entity Recognition)
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  - **ConfliBERT-indiapolice-events-multilabel** (Text Classification)
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- - **ConfliBERT-named-entity-recognition** (Token Classification)
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  - **ConfliBERT-insight-crime-multilabel** (Text Classification)
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  These models are fine-tuned versions intended for specific text classification and named entity recognition tasks, enhancing their effectiveness in practical applications.
 
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  ConfliBERT has several variants, each fine-tuned on specific datasets to cater to different use cases within the domain of political conflict and violence:
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  - **ConfliBERT-scr-uncased-BBC_News** (Binary Classification)
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  - **ConfliBERT-cont-cased-BBC_News** (Binary Classification)
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+ - **ConfliBERT-scr-uncased-20news** (Binary Classification)
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+ - **ConfliBERT-cont-cased-20news** (Binary Classification)
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  - **ConfliBERT-re3d-ner** (Named Entity Recognition)
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  - **ConfliBERT-indiapolice-events-multilabel** (Text Classification)
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+ - **ConfliBERT-named-entity-recognition** (Named Entity Recognition)
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  - **ConfliBERT-insight-crime-multilabel** (Text Classification)
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  These models are fine-tuned versions intended for specific text classification and named entity recognition tasks, enhancing their effectiveness in practical applications.