Text Classification
Transformers
Safetensors
English
bert
intent-classification
query-routing
agent
llm-router
text-embeddings-inference
Instructions to use ENTUM-AI/AgentRouter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ENTUM-AI/AgentRouter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ENTUM-AI/AgentRouter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ENTUM-AI/AgentRouter") model = AutoModelForSequenceClassification.from_pretrained("ENTUM-AI/AgentRouter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 856af67e52634d1077c2275a2cdd274846c9d7016e7985e91f8c1e308311db0b
- Size of remote file:
- 133 MB
- SHA256:
- 0127ed1a00bfed0fd2d8b5050dd8770cbedad91f2ca4c5e39195dd3ec7eb21d4
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