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 / artifacts /evaluation /latest /decision_phase_train_confusion_matrix.csv
| ,awareness,research,consideration,decision,action,post_purchase,support | |
| awareness,16,0,0,0,0,0,0 | |
| research,1,14,0,0,0,0,0 | |
| consideration,0,2,15,0,0,0,0 | |
| decision,0,0,0,16,0,0,0 | |
| action,0,0,0,0,10,0,0 | |
| post_purchase,0,0,0,0,0,14,0 | |
| support,0,0,0,0,0,0,14 | |