Text Classification
Transformers
Safetensors
English
distilbert
intent-detection
agent-routing
mcp
ai-agents
tool-use
text-embeddings-inference
Instructions to use tripathyShaswata/AgentIntentRouter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tripathyShaswata/AgentIntentRouter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tripathyShaswata/AgentIntentRouter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tripathyShaswata/AgentIntentRouter") model = AutoModelForSequenceClassification.from_pretrained("tripathyShaswata/AgentIntentRouter") - Notebooks
- Google Colab
- Kaggle
Add AgentIntentRouter model — DeBERTa-v3-base fine-tuned for agent intent classification
369cb70 verified | { | |
| "labels": [ | |
| "code_generation", | |
| "web_search", | |
| "math_calculation", | |
| "file_operation", | |
| "api_call", | |
| "creative_writing", | |
| "data_analysis", | |
| "general_chat" | |
| ], | |
| "label2id": { | |
| "code_generation": 0, | |
| "web_search": 1, | |
| "math_calculation": 2, | |
| "file_operation": 3, | |
| "api_call": 4, | |
| "creative_writing": 5, | |
| "data_analysis": 6, | |
| "general_chat": 7 | |
| }, | |
| "id2label": { | |
| "0": "code_generation", | |
| "1": "web_search", | |
| "2": "math_calculation", | |
| "3": "file_operation", | |
| "4": "api_call", | |
| "5": "creative_writing", | |
| "6": "data_analysis", | |
| "7": "general_chat" | |
| } | |
| } |