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
| { | |
| "_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 | |
| ] | |
| } | |