Text Classification
Transformers
Safetensors
gemma4_unified
image-text-to-text
decision-model
decision-index
system-one
gemma4
Instructions to use MachinePulseAI/karpo-decision-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MachinePulseAI/karpo-decision-12B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MachinePulseAI/karpo-decision-12B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("MachinePulseAI/karpo-decision-12B") model = AutoModelForMultimodalLM.from_pretrained("MachinePulseAI/karpo-decision-12B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 936 Bytes
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Developed by MachinePulse Limited
https://machinepulse.ai
https://karpo.ai (Karpo, a MachinePulse product)
https://huggingface.co/MachinePulseAI/karpo-decision-12B
karpo-decision-12B is a modified version of Gemma 4 12B-it (google/gemma-4-12B-it),
developed by Google DeepMind and licensed under the Apache License, Version 2.0.
MachinePulse fine-tuned the decoder weights for decision modeling and added a linear
readout over the options. MachinePulse contributions are subject to the
MachinePulse Community License in LICENSE.
A copy of the Apache License, Version 2.0, under which Gemma 4 is licensed, is
included in licenses/Gemma-4-LICENSE. Gemma and other third-party components remain
subject to their original licenses.
The inference code (https://github.com/machinepulse-ai/karpo-decision) is licensed
separately under the Apache License, Version 2.0.
Licensing: contact@machinepulse.ai
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