Text Classification
Transformers
Safetensors
English
multilingual
distilbert
router
intent-classification
topic-classification
kicaulah-ai
kicaulah
small-model
multi-agent
agent-routing
openai-compatible
api-server
text-embeddings-inference
Instructions to use Kicaulah/router-multidomain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kicaulah/router-multidomain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kicaulah/router-multidomain")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kicaulah/router-multidomain") model = AutoModelForSequenceClassification.from_pretrained("Kicaulah/router-multidomain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K