Downloads · 30 days
3
13% of all-time downloads
fa-customer-review-classifier
syamak-ai/fa-customer-review-classifier
fa-customer-review-classifier is a machine learning model from syamak-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
A Persian NLP project that classifies customer reviews into three categories:
All-time downloads
24
Public
Parameters
278M
1.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.1 GB · 98%
At a glance
- Model type
- xlm-roberta
- Access
- Public
- Created
- Aug 4, 2026
- Updated
- Aug 4, 2026
- SHA
- d2d33954
Model card
From the Hugging Face model README
Persian Customer Review Purchase Suggestion Classification
A Persian NLP project that classifies customer reviews into three categories:
- Buy: The customer recommends purchasing the product.
- Not Buy: The customer does not recommend purchasing the product.
- Neutral: The review does not express a clear purchase recommendation.
The project uses XLM-RoBERTa fine-tuning with PyTorch and Hugging Face Transformers to understand Persian customer feedback and predict purchase intent.
Project Goal
The goal is to automatically analyze Persian customer reviews and determine whether a customer would recommend buying a product.
This can help businesses:
- Monitor customer satisfaction
- Analyze product feedback
- Identify negative experiences
- Understand purchase intention from reviews
Classification Labels
The dataset contains three labels:
| Label | Meaning |
|---|---|
| 0 | Buy |
| 1 | Neutral |
| 2 | Not Buy |
Model
- Base model:
xlm-roberta-base - Language: Persian / multilingual
- Framework: PyTorch
- Task: 3-class text classification
- Type
- xlm-roberta
- Created
- Aug 4, 2026
- Updated
- Aug 4, 2026