Text Classification
Transformers
ONNX
Safetensors
English
Hindi
multilingual
query-classification
intent-detection
memory-scope
modernbert
quantized
Instructions to use addyo07/query-scope-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addyo07/query-scope-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="addyo07/query-scope-classifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("addyo07/query-scope-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce665bf121ac12b0ad34d59bcd147281f6600a1a70b6a4b4df562a388c87e6b6
- Size of remote file:
- 598 MB
- SHA256:
- 42ba73d8c71345a03a9f309e6a5ad2fc822ba4c84e743b9473d0c43a974ff1a2
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