Transformer Emotion Analysis

Overview

This project demonstrates the use of a Transformer architecture for emotion analysis. The Transformer model is fine-tuned on an emotion dataset, and the hidden states are extracted for downstream tasks such as logistic regression and evaluation using a dummy classifier.

In this repo, you will find examples of real-world NLP tasks using advanced algorithms like Transformers, RNNs, CNNs, LSTMs. It also includes the RAG and fine-tuning approaches for QA.

fine tunning a code LLM from huggingface

basic transfromers example

Bird and plane detection using CNN pytorch

Tensor broadcasting ,core of matrix multiplication

tempature hot probelm using pytorch

Basic tensor using pytorch