How to learn Hugging Face Transformers after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine Hugging Face Transformers depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.

How VSET teaches Hugging Face Transformers

Hugging Face Transformers is a Python library that gives access to pretrained transformer models for language, vision and audio, along with tooling for fine-tuning and inference. At VSET it is applied tooling in the deep learning and natural language work of the CSE AI and ML specialisation. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

• VSET offers B.Tech CSE with an AI and Machine Learning specialisation among its seven GGSIPU programmes.
• Deep learning and natural language coursework there covers transformer models, with Python libraries as the working tooling.
• Linear algebra and probability coursework supply the mathematics attention mechanisms rest on.
• Fine-tuning and inference work is applied through projects rather than as a separate GGSIPU subject.

Where Hugging Face Transformers skills lead

Graduates applying Hugging Face Transformers skills typically target roles such as Machine Learning Engineer, NLP Engineer, Deep Learning Engineer, Research Engineer, AI Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.

How admission works

Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.