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
| { | |
| "architectures": [ | |
| "MettleModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_mettle.MettleConfig", | |
| "AutoModel": "modeling_mettle.MettleModel" | |
| }, | |
| "backbone_name": "vit_giant_patch14_reg4_dinov2", | |
| "default_feature_view": "cls", | |
| "head_enabled": true, | |
| "head_hidden_size": 256, | |
| "head_num_atoms": 16, | |
| "head_rank": 8, | |
| "hidden_size": 1536, | |
| "image_size": 224, | |
| "model_type": "mettle", | |
| "num_register_tokens": 4, | |
| "torch_dtype": "float32" | |
| } | |