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README.md
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from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
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# Load model and tokenizer
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tokenizer = AutoTokenizer.from_pretrained("
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model = AutoModelForTokenClassification.from_pretrained("
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# Create NER pipeline
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ner_pipeline = pipeline(
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title = {NER Model for Contact Management Assistant Bot},
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year = {2025},
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publisher = {Hugging Face},
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howpublished = {\url{https://huggingface.co/
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note = {Based on RoBERTa by Facebook AI. Achieves 95.1\% accuracy with full address recognition including building numbers.}
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}
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```
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- **Author:** Mykyta Kotenko
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- **Repository:** [assistant-bot](https://github.com/kms-engineer/assistant-bot)
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- **Issues:** Please report issues on GitHub
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- **Hugging Face:** [
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## Related Models
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- **Intent Classifier:** [
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- **Dataset:** [
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from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
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# Load model and tokenizer
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tokenizer = AutoTokenizer.from_pretrained("kms-engineer/assistant-bot-ner-model")
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model = AutoModelForTokenClassification.from_pretrained("kms-engineer/assistant-bot-ner-model")
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# Create NER pipeline
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ner_pipeline = pipeline(
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title = {NER Model for Contact Management Assistant Bot},
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year = {2025},
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publisher = {Hugging Face},
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howpublished = {\url{https://huggingface.co/kms-engineer/assistant-bot-ner-model}},
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note = {Based on RoBERTa by Facebook AI. Achieves 95.1\% accuracy with full address recognition including building numbers.}
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}
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```
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- **Author:** Mykyta Kotenko
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- **Repository:** [assistant-bot](https://github.com/kms-engineer/assistant-bot)
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- **Issues:** Please report issues on GitHub
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- **Hugging Face:** [kms-engineer](https://huggingface.co/kms-engineer)
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## Related Models
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- **Intent Classifier:** [kms-engineer/assistant-bot-intent-classifier](https://huggingface.co/kms-engineer/assistant-bot-intent-classifier)
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- **Dataset:** [kms-engineer/assistant-bot-ner-dataset](https://huggingface.co/datasets/kms-engineer/assistant-bot-ner-dataset)
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