Image-Text-to-Text
PEFT
Safetensors
graph-learning
multimodal-graphs
vision-language-model
qwen-vl
lora
node-classification
link-prediction
Instructions to use oofwite/OMG-VLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use oofwite/OMG-VLM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-VL-Chat") model = PeftModel.from_pretrained(base_model, "oofwite/OMG-VLM") - Notebooks
- Google Colab
- Kaggle
Download assets/OMG_figure2.jpg from oofwite/OMG-VLM: direct link, hf CLI and curl.
- Browser
- Download file 1.4 MB
-
https://huggingface.co/oofwite/OMG-VLM/resolve/main/assets/OMG_figure2.jpg
- Command line
-
hf download hf://oofwite/OMG-VLM/assets/OMG_figure2.jpg
-
curl -L -o OMG_figure2.jpg https://huggingface.co/oofwite/OMG-VLM/resolve/main/assets/OMG_figure2.jpg
1.4 MB

- Xet hash:
- 14a4e2941a9ac297dfa1124aa0e5093bd85489817044c1dbb601af842bed465f
- Size of remote file:
- 1.4 MB
- SHA256:
- b92003ec4e88a588dd1d458fa3358926cf19c99958bf28c5db6a39ea15160cb1
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