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xlmr-uzbek-sentiment
Dyanne05/xlmr-uzbek-sentiment
xlmr-uzbek-sentiment is a text classification model from Dyanne05. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This model was fine-tuned for Uzbek sentiment classification using multilingual transformer architectures.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- May 9, 2026
- Updated
- May 9, 2026
- SHA
- e0ffce32
Base models
Model card
From the Hugging Face model README
Uzbek Sentiment Analysis using XLM-RoBERTa
This model was fine-tuned for Uzbek sentiment classification using multilingual transformer architectures.
Labels
- negative
- neutral
- positive
Base Model
- xlm-roberta-base
Description
The project compares classical machine learning approaches with transformer-based NLP models for low-resource Uzbek language sentiment analysis.
The model was trained using HuggingFace Transformers and PyTorch.
Tasks
- Sentiment Classification
- Uzbek NLP
- Multilingual Text Classification
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Languages
- uz
- Created
- May 9, 2026
- Updated
- May 9, 2026