Text Classification
Transformers
Safetensors
modernbert
fugusashi
model-router
eulogik
llm-routing
classifier
text-embeddings-inference
Instructions to use eulogik/fugusashi-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eulogik/fugusashi-router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eulogik/fugusashi-router")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eulogik/fugusashi-router") model = AutoModelForSequenceClassification.from_pretrained("eulogik/fugusashi-router") - Notebooks
- Google Colab
- Kaggle
Fugusashi Router โ ModernBERT Classifier
Fine-tuned ModernBERT-base (149M params) for intelligent LLM model routing.
v1.3.0 (2026-07-07)
- Trained on 224 seed examples across 3 model classes
- 80.0% test accuracy (179 train / 45 test)
- Classes: gpt-oss-120b (code/reasoning), hermes-3-405b (explanation), lfm-2.5-1.2b (factual/creative)
- Training: 8 epochs, cosine scheduler, weighted cross-entropy
- Inference: ~83ms on CPU, one forward pass
Links
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