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language: en
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# 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**: Positive, Negative, Neutral
- **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
### Model Loading
You can easily load the pre-trained model for sentiment analysis using Hugging Face's AutoModelForSequenceClassification.
```bash
from transformers import DistilBertForSequenceClassification, DistilBertTokenizerFast
model_name = "ongaunjie/distilbert-cloths-sentiment" # Replace with a valid model name from Hugging Face's model hub
tokenizer = DistilBertTokenizerFast.from_pretrained(model_name)
model = DistilBertForSequenceClassification.from_pretrained(model_name)
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