Instructions to use MachinePulseAI/karpo-decision-31B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MachinePulseAI/karpo-decision-31B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MachinePulseAI/karpo-decision-31B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("MachinePulseAI/karpo-decision-31B") model = AutoModelForMultimodalLM.from_pretrained("MachinePulseAI/karpo-decision-31B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Demo for this model on Spaces
Hi @MachinePulseAI 🤗
I'm Apolinario, from the open-source team at Hugging Face. Congrats and thanks for open-sourcing MachinePulseAI/karpo-decision-31B on the Hub! We were excited about this work and built with an agent an interactive demo app of it on Hugging Face Spaces, running on a free ZeroGPU infrastructure.
Here's a link to the demo: https://huggingface.co/spaces/hugging-apps/karpo-decision-31b
We would love to transfer this demo to you or your organization. Would you like this demo to live under your own account or organization? If so just let me know here which username to transfer to, and we'll transfer the Space over to you, we hope it can give your work more visibility, discoverability and allows folks to try it out.
(If you have any questions or just want to chat more about this, you can find me on Twitter, LinkedIn or apolinario @ huggingface.co)
Cheers,
Poli
Hi Apolinario,
Thank you so much for building the demo and helping bring more visibility to our work! We really appreciate your support.
After the Space is transferred to us, would we need to handle deployment or provide any hosting resources on our side, or would it continue running on the free ZeroGPU infrastructure?
Best,
Lionel