Instructions to use Ganymede981/ham10000-vit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ganymede981/ham10000-vit with PEFT:
Task type is invalid.
- Transformers
How to use Ganymede981/ham10000-vit with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ganymede981/ham10000-vit", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "thresholds": { | |
| "actinic_keratoses": 0.45, | |
| "basal_cell_carcinoma": 0.35, | |
| "benign_keratosis-like_lesions": 0.5, | |
| "dermatofibroma": 0.2, | |
| "melanocytic_Nevi": 0.4, | |
| "melanoma": 0.55, | |
| "vascular_lesions": 0.15 | |
| }, | |
| "val_f1": { | |
| "actinic_keratoses": 0.8567, | |
| "basal_cell_carcinoma": 0.855, | |
| "benign_keratosis-like_lesions": 0.8511, | |
| "dermatofibroma": 0.855, | |
| "melanocytic_Nevi": 0.8555, | |
| "melanoma": 0.8559, | |
| "vascular_lesions": 0.8606 | |
| }, | |
| "labels": [ | |
| "actinic_keratoses", | |
| "basal_cell_carcinoma", | |
| "benign_keratosis-like_lesions", | |
| "dermatofibroma", | |
| "melanocytic_Nevi", | |
| "melanoma", | |
| "vascular_lesions" | |
| ], | |
| "model_repo": "Ganymede981/ham10000-vit" | |
| } |