Instructions to use julia225/egoblind-ra-sft-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use julia225/egoblind-ra-sft-vision with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("moonshotai/Kimi-VL-A3B-Instruct") model = PeftModel.from_pretrained(base_model, "julia225/egoblind-ra-sft-vision") - Notebooks
- Google Colab
- Kaggle
File size: 483 Bytes
2637445 | 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 | {
"auto_map": {
"AutoImageProcessor": "image_processing_kimi_vl.KimiVLImageProcessor",
"AutoProcessor": "processing_kimi_vl.KimiVLProcessor"
},
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "KimiVLImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"in_token_limit": 4096,
"merge_kernel_size": [
2,
2
],
"num_pooled_tokens": 1024,
"pad_input": true,
"patch_size": 14,
"processor_class": "KimiVLProcessor"
}
|