Text Classification
Transformers
Safetensors
multilingual
modernbert
routing
llm-routing
prompt-classification
complexity-estimation
text-embeddings-inference
Instructions to use scombat/s1d1-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scombat/s1d1-router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="scombat/s1d1-router")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("scombat/s1d1-router") model = AutoModelForSequenceClassification.from_pretrained("scombat/s1d1-router", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Today
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LiteLLM integration moves to s1d1-tantive: tutorial around the image, old server and untested plugins removed
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3 days ago
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LiteLLM Auto Router classifier server (serve_litellm.py), launchers, tutorial update
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6 days ago
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Loader from the Hub (tokenizer config, vocab map, MLX/ONNX), four tiers, train.py, judge/, card fixes (docs/16)
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Remove compiled Python files
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serve_variant.sh, vocab map support
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serve.py decision log, review_log.py
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Integrations: policy, server, LiteLLM, tutorials (untested parts labelled)
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