Instructions to use ntuhophai/ERM-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use ntuhophai/ERM-AI with timm:
import timm model = timm.create_model("hf-hub:ntuhophai/ERM-AI", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Publish complete OCT stream/fold model collection
#1
by Billy12345 - opened
Publishes the complete public OCT model collection with ordered stream/fold configuration, tensor-only historical checkpoints, and inference documentation. Models are uploaded to this single PR branch; the catalog is published only after all model hashes are verified. Legacy preprocessing and evaluation limitations are documented in the model cards.
Code and usage instructions: https://github.com/chou141253/ERM-AI/tree/26f1f7471868d8b9061952e800ee932a37df920d/new
Billy12345 changed pull request status to open
ntuhophai changed pull request status to merged
ntuhophai deleted the
refs/pr/1 ref