Text Classification
Transformers
Safetensors
Turkish
bert
sequence-classification
turkish
intent-classification
text-embeddings-inference
Instructions to use melique/query-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melique/query-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="melique/query-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("melique/query-classifier") model = AutoModelForSequenceClassification.from_pretrained("melique/query-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -67,4 +67,7 @@ pred = torch.argmax(outputs.logits, dim=1).item()
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labels = ["keyword", "semantic"]
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print(f"Tahmin edilen sınıf: {labels[pred]}")
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```
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labels = ["keyword", "semantic"]
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print(f"Tahmin edilen sınıf: {labels[pred]}")
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```
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## Lisans
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Bu model, araştırma ve eğitim amaçlı olarak paylaşılmıştır. Ticari kullanımlar için model sahibi ile iletişime geçiniz.
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This model is shared for research and educational purposes. For commercial use, please contact the model owner.
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