Text Classification
Transformers
Safetensors
gemma4
image-text-to-text
decision-model
mixture-of-experts
vision
surogate
Instructions to use michaelfeil/rune-26b-a4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/rune-26b-a4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="michaelfeil/rune-26b-a4b")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("michaelfeil/rune-26b-a4b") model = AutoModelForMultimodalLM.from_pretrained("michaelfeil/rune-26b-a4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
30 days ago
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Mirror Rune v3 from surogate at c6b360d47895bb77bdf3805a13ee5a5557ab1921
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