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language: en |
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# Women's Clothing Reviews Sentiment Analysis with DistilBERT |
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## Overview |
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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. |
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## Model Details |
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- **Model Architecture**: Fine-tuned DistilBERT |
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- **Sentiment Categories**: Positive, Negative, Neutral |
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- **Input Format**: Text-based clothing reviews |
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- **Output Format**: Sentiment category labels |
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## Usage |
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### Installation |
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To use this model, you'll need to install the Hugging Face Transformers library and any additional dependencies. |
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```bash |
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pip install transformers |
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### Model Loading |
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You can easily load the pre-trained model for sentiment analysis using Hugging Face's AutoModelForSequenceClassification. |
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```bash |
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from transformers import DistilBertForSequenceClassification, DistilBertTokenizerFast |
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model_name = "ongaunjie/distilbert-cloths-sentiment" # Replace with a valid model name from Hugging Face's model hub |
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tokenizer = DistilBertTokenizerFast.from_pretrained(model_name) |
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model = DistilBertForSequenceClassification.from_pretrained(model_name) |
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