Text Classification
Transformers
PyTorch
Turkish
bert
text
news-category-classification
text-embeddings-inference
Instructions to use yavuzkomecoglu/news-category-classification-tr-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yavuzkomecoglu/news-category-classification-tr-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yavuzkomecoglu/news-category-classification-tr-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yavuzkomecoglu/news-category-classification-tr-test") model = AutoModelForSequenceClassification.from_pretrained("yavuzkomecoglu/news-category-classification-tr-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K