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
Ctrl+K
- 43 kB
- 248 Bytes
- 2.39 kB
- 241 Bytes
- 1.69 kB
- 241 Bytes
- 1.72 kB
- 241 Bytes
- 1.67 kB
- 248 Bytes
- 1.7 kB
- 241 Bytes
- 1.73 kB
- 15.5 kB
- 2.71 kB
- 2.68 kB
- 1.94 kB
- 1.83 kB
- 1.8 kB
- 1.82 kB
- 1.8 kB
- 112 kB
- 106 kB
- 83.8 kB
- 11.3 kB
- 16.1 kB
- 1.13 kB
- 4.08 kB
- 1.12 kB
- 3.17 kB
- 1.12 kB
- 3.14 kB
- 1.12 kB
- 3.09 kB
- 1.13 kB
- 3.42 kB
- 1.12 kB
- 3.02 kB
- 471 Bytes
- 2.66 kB
- 465 Bytes
- 1.87 kB
- 461 Bytes
- 2.04 kB
- 462 Bytes
- 2.05 kB
- 467 Bytes
- 2.03 kB
- 461 Bytes
- 2.06 kB