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models/README.md
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This project fine-tunes a custom NER model for Azerbaijani text using the multilingual XLM-RoBERTa model. This notebook and its supporting files enable extracting named entities like **persons**, **locations**, **organizations**, and **dates** from Azerbaijani text.
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### Notebook Source
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This notebook was created in Google Colab and can be accessed [here](https://
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## Setup Instructions
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test_texts = ["Shahla Khuduyeva və Pasha Sığorta şirkəti haqqında məlumat."]
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true_labels = [["B-PERSON", "B-ORGANISATION"]]
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evaluate_model(test_texts, true_labels)
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```
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This project fine-tunes a custom NER model for Azerbaijani text using the multilingual XLM-RoBERTa model. This notebook and its supporting files enable extracting named entities like **persons**, **locations**, **organizations**, and **dates** from Azerbaijani text.
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### Notebook Source
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This notebook was created in Google Colab and can be accessed [here](https://github.com/Ismat-Samadov/Named_Entity_Recognition/blob/main/models/XLM-RoBERTa.ipynb).
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## Setup Instructions
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test_texts = ["Shahla Khuduyeva və Pasha Sığorta şirkəti haqqında məlumat."]
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true_labels = [["B-PERSON", "B-ORGANISATION"]]
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evaluate_model(test_texts, true_labels)
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```
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