# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Sathiyapramod/my_sentiment_analysis", device_map="auto")Quick Links
Sentiment Analysis using Transformers & Gradio
This repository contains a custom-trained Transformer model specifically fine-tuned for Sentiment Analysis. The model classifies text into categories such as Positive, Negative, and (optionally) Neutral.
🚀 Project Overview
The goal of this project is to provide an easy-to-use interface for analyzing the emotional tone of text. By leveraging the transformers library and Gradio, this model can be tested in real-time via a web interface.
🛠️ Installation
To run this project locally, you will need to install the following dependencies:
pip install transformers gradio
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sathiyapramod/my_sentiment_analysis")