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
Download tokenizer.json from MachinePulseAI/karpo-decision-12B: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/MachinePulseAI/karpo-decision-12B/resolve/main/tokenizer.json
- Command line
-
hf download hf://MachinePulseAI/karpo-decision-12B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MachinePulseAI/karpo-decision-12B/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- 5bcbde597693807af1fc582232e46a878dbe1a1c82c498f3c851ed517f518c14
- Size of remote file:
- 32.2 MB
- SHA256:
- 9788bdb6a021b3170357cd3587b5d622b1177561ad3c5bf43d73728fd71aeacb
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