rohanmistry231/Transformers-Hugging-Face-Interview-Preparation
A curated resource for mastering Transformers and Hugging Face libraries, featuring practice problems, code examples, and interview-focused NLP concepts. Covers model fine-tuning, tokenization, and deployment with Python for technical interview success.
This project is a detailed study guide for anyone looking to master the Hugging Face Transformers library to land a job in AI/ML or NLP. It provides practical examples, code, and interview-specific concepts related to text, speech, vision, and multimodal AI tasks. The content is designed for machine learning engineers, AI researchers, and software engineers who need to understand advanced natural language processing for technical interviews.
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Use this if you are preparing for a technical interview for an AI/ML or NLP role and need a structured roadmap to learn and practice with the Hugging Face Transformers library.
Not ideal if you are looking for a general introduction to AI or machine learning concepts, or if you are not planning to work with the Hugging Face Transformers library specifically.
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Python
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MIT
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May 22, 2025
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