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
| { | |
| "model_type": "distilbert", | |
| "num_labels": 2, | |
| "pipeline_tag": "text-classification", | |
| "vocab_size": 30522, | |
| "max_position_embeddings": 512, | |
| "dim": 64, | |
| "hidden_dim": 256, | |
| "n_layers": 2, | |
| "n_heads": 2, | |
| "dropout": 0.1, | |
| "custom_pipelines": { | |
| "admesh-intent": { | |
| "impl": "pipeline.AdmeshIntentPipeline", | |
| "pt": [ | |
| "AutoModelForSequenceClassification" | |
| ], | |
| "tf": [] | |
| } | |
| } | |
| } | |