Text Classification
Transformers
PyTorch
Core ML
Safetensors
English
distilbert
text-embeddings-inference
Instructions to use Falconsai/intent_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falconsai/intent_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Falconsai/intent_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Falconsai/intent_classification") model = AutoModelForSequenceClassification.from_pretrained("Falconsai/intent_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "fileFormatVersion": "1.0.0", | |
| "itemInfoEntries": { | |
| "AFA8F27A-567D-483E-9161-8CCF1082DB9C": { | |
| "author": "com.apple.CoreML", | |
| "description": "CoreML Model Specification", | |
| "name": "model.mlmodel", | |
| "path": "com.apple.CoreML/model.mlmodel" | |
| }, | |
| "E8C20928-9550-43A8-8294-A3CB7A28DCB1": { | |
| "author": "com.apple.CoreML", | |
| "description": "CoreML Model Weights", | |
| "name": "weights", | |
| "path": "com.apple.CoreML/weights" | |
| } | |
| }, | |
| "rootModelIdentifier": "AFA8F27A-567D-483E-9161-8CCF1082DB9C" | |
| } | |