Instructions to use MeridianVector/gemma3-4b-vision-gspo-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MeridianVector/gemma3-4b-vision-gspo-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MeridianVector/gemma3-4b-vision-gspo-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download processor_config.json from MeridianVector/gemma3-4b-vision-gspo-lora: direct link, hf CLI and curl.
- Browser
- Download file 87 Bytes
-
https://huggingface.co/MeridianVector/gemma3-4b-vision-gspo-lora/resolve/main/processor_config.json
- Command line
-
hf download hf://MeridianVector/gemma3-4b-vision-gspo-lora/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/MeridianVector/gemma3-4b-vision-gspo-lora/resolve/main/processor_config.json
87 Bytes
| { | |
| "image_seq_length": 256, | |
| "processor_class": "_Unsloth_Patched_Gemma3Processor" | |
| } | |