Text Classification
Transformers
Safetensors
modernbert
routing
llm-routing
prompt-classification
multilingual
text-embeddings-inference
Instructions to use scombat/s1d1-router-6src-compact with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scombat/s1d1-router-6src-compact with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="scombat/s1d1-router-6src-compact")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("scombat/s1d1-router-6src-compact") model = AutoModelForSequenceClassification.from_pretrained("scombat/s1d1-router-6src-compact", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
5 days ago
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Card: pipeline and TEI warning, loader from the Hub, link to the main card
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config.json: problem_type regression (raw outputs in the pipeline), task_names, output_layout
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Base model is now scombat/s1d1-router
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Apache-2.0 license, NOTICE and citation; card update
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Add v4_vocab32k-fp16 (six-source development model)
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initial commit
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