Image Feature Extraction
Transformers
Safetensors
flexict
feature-extraction
medical-imaging
ct
vision
custom_code
Instructions to use ricklisz123/FlexiCT-3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ricklisz123/FlexiCT-3D with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="ricklisz123/FlexiCT-3D", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ricklisz123/FlexiCT-3D", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 439 Bytes
c119316 | 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 | {
"_processor_class": null,
"auto_map": {
"AutoImageProcessor": "image_processing_flexict.FlexiCTImageProcessor"
},
"clip_range": [
-1000.0,
1000.0
],
"do_orient_lps": true,
"do_resample": true,
"eps": 1e-06,
"image_processor_type": "FlexiCTImageProcessor",
"image_size": [
160,
160,
160
],
"model_variant": "3d",
"preset": "default",
"target_spacing": [
2.0,
2.0,
2.0
]
}
|