Instructions to use PelaAI/KnowLine-31B-Gen1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PelaAI/KnowLine-31B-Gen1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PelaAI/KnowLine-31B-Gen1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("PelaAI/KnowLine-31B-Gen1") model = AutoModelForMultimodalLM.from_pretrained("PelaAI/KnowLine-31B-Gen1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Demo for this model on Spaces
Hi @PelaAI 🤗
I'm Apolinario, from the open-source team at Hugging Face. Congrats and thanks for open-sourcing PelaAI/KnowLine-31B-Gen1 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/knowline-31b-decision
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
Thank you so much for building this demo, which makes the model much easier to try! We'd be glad to have it under our organization. Please transfer it to PelaAI.
Best,
Xiangyu Han
