alijawad252525/my-sentiment-model

Sentiment Analysis Model

Project Overview

This is a beginner-friendly sentiment analysis model uploaded to the Hugging Face Hub.

Base Model

distilbert-base-uncased-finetuned-sst-2-english

Task

Sentiment Analysis

What This Model Does

This model predicts whether an English sentence is POSITIVE or NEGATIVE.

Example Usage

from transformers import pipeline

pipe = pipeline(
    "sentiment-analysis",
    model="alijawad252525/my-sentiment-model"
)

print(pipe("Great movie!"))

Example Outputs

Input: I love machine learning.
Output: POSITIVE

Input: The service was terrible.
Output: NEGATIVE

Limitations

• Works best on English text.
• May not work well on Urdu or Roman Urdu.
• May give wrong results on sarcasm.
• This is a learning project for practicing Hugging Face model publishing.

Skills Practiced

• Loading a pretrained Transformer model
• Using tokenizer and model
• Running sentiment analysis inference
• Uploading model to Hugging Face Hub
• Creating a model card

Author

Ali Jawad