📃: Enhancing NLP Capabilities and Documentation for Transformers

[UTSAVS26]

:red_circle: Title : Text Classification, Named Entity Recognition, and Transformers Overview Documentation

:red_circle: Aim : To enhance the project by implementing text classification and named entity recognition (NER) features, and to provide comprehensive documentation on Transformers.

:red_circle: Brief Explanation :

• Text Classification: Implement a module to classify text into predefined categories using machine learning algorithms.
• Named Entity Recognition (NER): Develop a feature to identify and categorize entities (e.g., names, dates, locations) within text data.
• Transformers Overview Documentation: Create detailed documentation explaining the concepts, applications, and implementation of Transformers in natural language processing (NLP).

Screenshots 📷

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:white_check_mark: To be Mentioned while taking the issue :

• Full name : Utsav Singhal
• What is your participant role? (Mention the Open Source Program name. Eg. GSOC, GSSOC, SSOC, JWOC, etc.): SSOC'24

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[UTSAVS26]

@Avdhesh-Varshney pull request for this issue, #80 , please review it.