Instructions to use ulugbeksalaev/Uzbek-Text-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ulugbeksalaev/Uzbek-Text-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ulugbeksalaev/Uzbek-Text-Classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ulugbeksalaev/Uzbek-Text-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from ulugbeksalaev/Uzbek-Text-Classification: direct link, hf CLI and curl.
- Browser
- Download file 162 Bytes
-
https://huggingface.co/ulugbeksalaev/Uzbek-Text-Classification/resolve/main/README.md
- Command line
-
hf download hf://ulugbeksalaev/Uzbek-Text-Classification/README.md
-
curl -L -o README.md https://huggingface.co/ulugbeksalaev/Uzbek-Text-Classification/resolve/main/README.md
162 Bytes
metadata
pipeline_tag: text-classification
language:
- uz
metrics:
- accuracy
license: apache-2.0
library_name: transformers
widget:
- "Uzbek Text Classification"