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
Upload config.json with huggingface_hub
Browse files- config.json +5 -2
config.json
CHANGED
|
@@ -1,10 +1,13 @@
|
|
| 1 |
{
|
| 2 |
-
"model_type": "
|
|
|
|
| 3 |
"pipeline_tag": "text-classification",
|
| 4 |
"custom_pipelines": {
|
| 5 |
"admesh-intent": {
|
| 6 |
"impl": "pipeline.AdmeshIntentPipeline",
|
| 7 |
-
"pt": [
|
|
|
|
|
|
|
| 8 |
"tf": []
|
| 9 |
}
|
| 10 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"model_type": "distilbert",
|
| 3 |
+
"num_labels": 2,
|
| 4 |
"pipeline_tag": "text-classification",
|
| 5 |
"custom_pipelines": {
|
| 6 |
"admesh-intent": {
|
| 7 |
"impl": "pipeline.AdmeshIntentPipeline",
|
| 8 |
+
"pt": [
|
| 9 |
+
"AutoModelForSequenceClassification"
|
| 10 |
+
],
|
| 11 |
"tf": []
|
| 12 |
}
|
| 13 |
}
|