---
language: en
---

# Women's Clothing Reviews Sentiment Analysis with DistilBERT

## Overview

This Hugging Face repository contains a fine-tuned DistilBERT model for sentiment analysis of women's clothing reviews. The model is designed to classify reviews into positive, negative, or neutral sentiment categories, providing valuable insights into customer opinions.

## Model Details

- **Model Architecture**: Fine-tuned DistilBERT
- **Sentiment Categories**: Neutral[0], Negative[1], Positive[2]
- **Input Format**: Text-based clothing reviews
- **Output Format**: Sentiment category labels

## Usage

## Installation

To use this model, you'll need to install the Hugging Face Transformers library and any additional dependencies.

```bash
pip install transformers
pip install torch

Usage
You can easily load the pre-trained model for sentiment analysis using Hugging Face's DistilBertForSequenceClassification and DistilBertTokenizerFast.

python
Copy code
from transformers import DistilBertForSequenceClassification, DistilBertTokenizerFast
import torch

model_name = "ongaunjie/distilbert-cloths-sentiment" 
tokenizer = DistilBertTokenizerFast.from_pretrained(model_name)
model = DistilBertForSequenceClassification.from_pretrained(model_name)