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 adapter_model.safetensors from oofwite/OMG-VLM: direct link, hf CLI and curl.
- Browser
- Download file 449 MB
-
https://huggingface.co/oofwite/OMG-VLM/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://oofwite/OMG-VLM/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/oofwite/OMG-VLM/resolve/main/adapter_model.safetensors
449 MB
- Xet hash:
- 568144ef557d3d531d23de3fda9fc36a5f465206628d7ea122d66117bd96f95f
- Size of remote file:
- 449 MB
- SHA256:
- df318f2a1460ac4d69a4cacc0becda38bac1b415e6f65dcf4cee9b7bc10f263f
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