Text Classification
Transformers
ONNX
Safetensors
English
distilbert
intent-classification
multitask
iab
conversational-ai
adtech
calibrated-confidence
text-embeddings-inference
Instructions to use admesh/agentic-intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use admesh/agentic-intent-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="admesh/agentic-intent-classifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("admesh/agentic-intent-classifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| # Agentic intent classifier — training, calibration, IAB, combined_inference | |
| torch>=2.0.0 | |
| transformers>=4.36.0 | |
| datasets>=2.14.0 | |
| accelerate>=0.25.0 | |
| scikit-learn>=1.2.0 | |
| numpy>=1.24.0 | |
| pandas>=2.0.0 | |
| safetensors>=0.4.0 | |
| onnx>=1.14.0 | |
| onnxscript>=0.1.0 | |
| huggingface_hub>=0.20.0 | |