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
metadata
datasets:
- Ravshan/kun_uz_news
- s3h/custom-qalb-classification
- tahrirchi/uz-crawl
- tahrirchi/uz-books
- latofat/uzpos
- Sanatbek/uzbek-kazakh-parallel-corpora
- elmurod1202/uzbek-sentiment-analysis
- murodbek/uz-text-classification
metrics:
- bertscore
library_name: transformers
pipeline_tag: text-classification