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
- Xet hash:
- 2cc2a03ab197b46b0e65a0d2d83e51a9c57779158e54cad430f74e250ca4546a
- Size of remote file:
- 8.37 MB
- SHA256:
- bc61889ce5c6b4817f8a808ee656942f62e5442fe8c0ac91c65f299a695560fe
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