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
File size: 474 Bytes
0e83a2b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"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"
}
|