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
| { | |
| "head": "multitask_intent", | |
| "loss_weights": { | |
| "decision_phase": 1.0, | |
| "intent_subtype": 1.0, | |
| "intent_type": 1.0 | |
| }, | |
| "test_count": 70, | |
| "test_metrics": { | |
| "epoch": 4.0, | |
| "test_decision_phase_accuracy": 0.7586206896551724, | |
| "test_decision_phase_macro_f1": 0.763718820861678, | |
| "test_intent_subtype_accuracy": 0.8714285714285714, | |
| "test_intent_subtype_macro_f1": 0.8317236029317956, | |
| "test_intent_type_accuracy": 0.8723404255319149, | |
| "test_intent_type_macro_f1": 0.8005555555555555, | |
| "test_loss": 1.4344456195831299, | |
| "test_runtime": 0.1682, | |
| "test_samples_per_second": 416.197, | |
| "test_steps_per_second": 29.728 | |
| }, | |
| "train_count": 1590, | |
| "val_count": 473, | |
| "val_metrics": { | |
| "epoch": 4.0, | |
| "val_decision_phase_accuracy": 0.9560975609756097, | |
| "val_decision_phase_macro_f1": 0.9496568779026763, | |
| "val_intent_subtype_accuracy": 0.8950617283950617, | |
| "val_intent_subtype_macro_f1": 0.8822267346328656, | |
| "val_intent_type_accuracy": 0.9757785467128027, | |
| "val_intent_type_macro_f1": 0.970010435450997, | |
| "val_loss": 0.5456064343452454, | |
| "val_runtime": 1.1168, | |
| "val_samples_per_second": 423.544, | |
| "val_steps_per_second": 26.863 | |
| } | |
| } | |