Text Classification
Transformers
ONNX
Safetensors
English
Hindi
distilbert
int8
query-classification
generic-semantic
multilingual
Eval Results (legacy)
Instructions to use addyo07/distilbert-query-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addyo07/distilbert-query-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="addyo07/distilbert-query-classifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("addyo07/distilbert-query-classifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4eaabf7f6a51dc98f6f491651ed994703adab6a1a2ef92b49ae46a2c069739b0
- Size of remote file:
- 136 MB
- SHA256:
- 5093f8d2e2252cd952e134231fb784809bc45598d278f89e56c8a320017fdeae
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