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
File size: 380 Bytes
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"backend": "tokenizers",
"clean_up_tokenization_spaces": true,
"cls_token": "[CLS]",
"is_local": false,
"local_files_only": false,
"mask_token": "[MASK]",
"model_input_names": [
"input_ids",
"attention_mask"
],
"model_max_length": 8192,
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"tokenizer_class": "TokenizersBackend",
"unk_token": "[UNK]"
}
|