AdilHayat173/token_classification
06
1---2language: en3tags:4 - token-classification5 - named-entity-recognition6 - bert7 - transformers8license: mit9datasets:10 - conll200311---12 13# Token Classification Model14 15## Description16This project involves developing a machine learning model for token classification, specifically for Named Entity Recognition (NER). Using a fine-tuned BERT model from the Hugging Face library, this system classifies tokens in text into predefined categories like names, locations, and dates.17 18The model is trained on a dataset annotated with entity labels to accurately classify each token. This token classification system is useful for information extraction, document processing, and conversational AI applications.19 20## Technologies Used21 22### Dataset23- **Source:** Kaggle: conll200324- **Purpose:** Contains text data with annotated entities for token classification.25 26### Model27- **Base Model:** BERT (bert-base-uncased)28- **Library:** Hugging Face transformers29- **Task:** Token Classification (Named Entity Recognition)30 31### Approach32 33#### Preprocessing:34- Load and preprocess the dataset.35- Tokenize the text data and align labels with tokens.36 37#### Fine-Tuning:38- Fine-tune the BERT model on the token classification dataset.39 40#### Training:41- Train the model to classify each token into predefined entity labels.42 43#### Inference:44- Use the trained model to predict entity labels for new text inputs.45 46### Key Technologies47- **Deep Learning (BERT):** For advanced token classification and contextual understanding.48- **Natural Language Processing (NLP):** For text preprocessing, tokenization, and entity recognition.49- **Machine Learning Algorithms:** For model training and prediction tasks.50 51## Streamlit App52You can view and interact with the Streamlit app for token classification [here](https://huggingface.co/spaces/AdilHayat173/token_classifcation).53 54## Examples55Here are some examples of outputs from the model:56 575859 60## Google Colab Notebook61You can view and run the Google Colab notebook for this project [here](https://colab.research.google.com/drive/1GYVlIToQ_lnT8XEjGrR2WFkUQWpWXgQi#scrollTo=ZlyX1Lgn8gjj).62 63## Acknowledgements64- Hugging Face for transformer models and libraries.65- Streamlit for creating the interactive web interface.66- [Your Dataset Provider] for the token classification dataset.67 68## Author69- AdilHayat70- [Hugging Face Profile](https://huggingface.co/AdilHayat173)71- [GitHub Profile](https://github.com/AdilHayat21173)72 73## Feedback74If you have any feedback, please reach out to us at hayatadil300@gmail.com.75