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
Download model/pytorch/tokenizer.json from addyo07/query-scope-classifier: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/addyo07/query-scope-classifier/resolve/main/model/pytorch/tokenizer.json
- Command line
-
hf download hf://addyo07/query-scope-classifier/model/pytorch/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/addyo07/query-scope-classifier/resolve/main/model/pytorch/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.