How to use dmis-lab/Gemma3-12B-CVRR with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "visual-question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("visual-question-answering", model="dmis-lab/Gemma3-12B-CVRR", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dmis-lab/Gemma3-12B-CVRR", trust_remote_code=True, device_map="auto")
https://huggingface.co/dmis-lab/Gemma3-12B-CVRR/resolve/main/native_backbone/processor_config.json
hf download hf://dmis-lab/Gemma3-12B-CVRR/native_backbone/processor_config.json
curl -L -o processor_config.json https://huggingface.co/dmis-lab/Gemma3-12B-CVRR/resolve/main/native_backbone/processor_config.json
