Feature Extraction
Transformers
Safetensors
PyTorch
brain-mri-siglip
medical-imaging
mri
brain-mri
siglip
vision-language
contrastive-learning
custom-code
custom_code
Instructions to use shenxiaochen/brain-mri-siglip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shenxiaochen/brain-mri-siglip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="shenxiaochen/brain-mri-siglip", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shenxiaochen/brain-mri-siglip", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 631 Bytes
8360541 | 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 | {
"processor_class": "BrainMRISiglipProcessor",
"auto_map": {
"AutoProcessor": "processing_brain_mri_siglip.BrainMRISiglipProcessor"
},
"offline_aligned_preprocessing": {
"path_recipe_mode": "auto",
"path_target_shape": [
128,
192,
192
],
"path_target_spacing": [
1.25,
1.0,
1.0
],
"path_crop_margin_mm": 5.0,
"path_foreground_threshold": 0.001,
"path_background_value": -1.0,
"path_foreground_strategy": "largest_component_nonzero",
"path_generic_recipe_id": "generic_foreground_128x192x192_fp16_v1",
"path_generic_cache_version": 1
}
} |