Instructions to use Jahongir94/uzbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jahongir94/uzbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jahongir94/uzbert")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jahongir94/uzbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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datasets:
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- Ravshan/kun_uz_news
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- s3h/custom-qalb-classification
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- tahrirchi/uz-crawl
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- tahrirchi/uz-books
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- latofat/uzpos
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- Sanatbek/uzbek-kazakh-parallel-corpora
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- elmurod1202/uzbek-sentiment-analysis
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- murodbek/uz-text-classification
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metrics:
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- bertscore
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library_name: transformers
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pipeline_tag: text-classification
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