Feature Extraction
Transformers
Safetensors
mettle
computational-pathology
histopathology
foundation-model
scanner-robustness
custom_code
Instructions to use slideflow-labs/Mettle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slideflow-labs/Mettle with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="slideflow-labs/Mettle", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("slideflow-labs/Mettle", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_center_crop": false, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.707223, | |
| 0.578729, | |
| 0.703617 | |
| ], | |
| "image_processor_type": "ViTImageProcessor", | |
| "image_std": [ | |
| 0.211883, | |
| 0.230117, | |
| 0.177517 | |
| ], | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 224, | |
| "width": 224 | |
| } | |
| } | |