Image Feature Extraction
Transformers
Safetensors
English
Korean
vision-encoder
multimodal
custom_code
Instructions to use skt/A.X-VE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skt/A.X-VE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="skt/A.X-VE", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("skt/A.X-VE", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 573 Bytes
d6a610e | 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 | {
"auto_map": {
"AutoImageProcessor": "image_processing_ax_ve.AXVEImageProcessor",
"AutoProcessor": "processing_ax_ve.AXVEProcessor"
},
"do_convert_rgb": true,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"do_tile_pad": false,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "AXVEImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"processor_class": "AXVEProcessor",
"rescale_factor": 0.00392156862745098,
"min_pixels": 65536,
"max_pixels": 16777216,
"patch_size": 16,
"merge_size": 2
} |