Text Classification
Transformers
Safetensors
ONNX
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
6 days ago
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Update README.md, integrations/litellm/README.md, tutorials/02-litellm.md
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12 days ago
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Update README.md, integrations/litellm/README.md, tutorials/02-litellm.md
Verified signature7fb9a4e
16 days ago
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LiteLLM integration moves to s1d1-tantive: tutorial around the image, old server and untested plugins removed
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19 days ago
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LiteLLM Auto Router classifier server (serve_litellm.py), launchers, tutorial update
Verified signature4ff8679
22 days ago
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Integrations: policy, server, LiteLLM, tutorials (untested parts labelled)
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