Instructions to use chirAAG-sehgal/finetunedLLaVA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chirAAG-sehgal/finetunedLLaVA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chirAAG-sehgal/finetunedLLaVA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 177 Bytes
e8f3d85 | 1 2 3 4 5 6 7 8 | {
"image_token": "<image>",
"num_additional_image_tokens": 1,
"patch_size": 14,
"processor_class": "LlavaNextProcessor",
"vision_feature_select_strategy": "default"
}
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