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README.md
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---
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library_name: peft
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---
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## Usage of this model:
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I'm glad to share with you my exciting journey of fine-tuning Llama 2 for
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Named Entity Recognition (NER),particularly on a customer service dataset.
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NER is a fascinating natural language processing task that involves identifying
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and classifying entities like names of people, organizations, locations,
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and other important terms within a given text.
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The customer service dataset I used was carefully curated and annotated with
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a wide range of service-related entities, such as specific types of services,
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service providers, service locations, and other related terms. The data was diverse and
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representative of the actual domain it aimed to address.
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(I will re-upload the dataset with more sample in it to here zaursamedov1/customer-service-ner)
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## To get more closer look at to the model read this colab notebook (Coming soon..)
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library_name: peft
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