Image Classification
timm
English
medical-imaging
knee-mri
acl-tear-detection
deep-learning
convnext
self-attention
masked-slice-modeling
radiology
orthopedics
Eval Results (legacy)
Instructions to use shareefch1413/ACL-LKNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use shareefch1413/ACL-LKNet with timm:
import timm model = timm.create_model("hf-hub:shareefch1413/ACL-LKNet", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download src/models/__init__.py from shareefch1413/ACL-LKNet: direct link, hf CLI and curl.
- Browser
- Download file 69 Bytes
-
https://huggingface.co/shareefch1413/ACL-LKNet/resolve/main/src/models/__init__.py
- Command line
-
hf download hf://shareefch1413/ACL-LKNet/src/models/__init__.py
-
curl -L -o __init__.py https://huggingface.co/shareefch1413/ACL-LKNet/resolve/main/src/models/__init__.py
69 Bytes
| from .acl_lknet import ACLLKNet | |
| from .msm import MaskedSliceModeling | |