Instructions to use somusan/molmo2-vqa-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use somusan/molmo2-vqa-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("somusan/molmo2-vqa-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 555 Bytes
61e9ea6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | {
"auto_map": {
"AutoImageProcessor": "image_processing_molmo2.Molmo2ImageProcessor",
"AutoProcessor": "processing_molmo2.Molmo2Processor"
},
"do_convert_rgb": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "Molmo2ImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"max_crops": 8,
"overlap_margins": [
4,
4
],
"patch_size": 14,
"pooling_size": [
2,
2
],
"processor_class": "Molmo2Processor",
"resample": 2,
"size": {
"height": 378,
"width": 378
}
}
|