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alijawad252525/
my-sentiment-model

Name: my-sentiment-model
Availability: InStock

safetensors

distilbert

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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

python

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