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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("melique/query-classifier") model = AutoModelForSequenceClassification.from_pretrained("melique/query-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec5181d21e8091955cacce0c4a43bfe2950e5ca0e4283cbfb0618b515692a08f
- Size of remote file:
- 442 MB
- SHA256:
- 97e4c3e0f1fc4b9faea49e75a7723af28ce91747a32b1fb7faa48bd23bb401f6
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