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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| [ | |
| { | |
| "input": "What is CRM software?", | |
| "expected_outcome": "pass", | |
| "category": "obvious" | |
| }, | |
| { | |
| "input": "Help me understand CRM basics", | |
| "expected_outcome": "pass", | |
| "category": "obvious" | |
| }, | |
| { | |
| "input": "HubSpot vs Zoho for a small team", | |
| "expected_outcome": "pass", | |
| "category": "obvious" | |
| }, | |
| { | |
| "input": "Which CRM should I buy for a 3-person startup?", | |
| "expected_outcome": "pass", | |
| "category": "obvious" | |
| }, | |
| { | |
| "input": "Start my free trial", | |
| "expected_outcome": "pass", | |
| "category": "obvious" | |
| }, | |
| { | |
| "input": "Book a table for 2 tonight", | |
| "expected_outcome": "pass", | |
| "category": "obvious" | |
| }, | |
| { | |
| "input": "I cannot log into my account", | |
| "expected_outcome": "fallback", | |
| "category": "safe" | |
| }, | |
| { | |
| "input": "go deeper", | |
| "expected_outcome": "fallback", | |
| "category": "safe" | |
| }, | |
| { | |
| "input": "say more about that", | |
| "expected_outcome": "fallback", | |
| "category": "safe" | |
| }, | |
| { | |
| "input": "what do you mean by that", | |
| "expected_outcome": "fallback", | |
| "category": "safe" | |
| } | |
| ] | |