Image Feature Extraction
timm
PyTorch
Safetensors
pathology
histology
medical imaging
self-supervised learning
vision transformer
foundation model
Instructions to use bioptimus/H-optimus-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use bioptimus/H-optimus-1 with timm:
import timm model = timm.create_model("hf_hub:bioptimus/H-optimus-1", pretrained=True) - Notebooks
- Google Colab
- Kaggle
How can I Fine tuning H-optimus-1 ?
#5
by classdemo - opened
How can I Fine tuning H-optimus-1 ? please tell me where is the Fine tuning code or github link if possible~ thanks
Hello @classdemo ,
For the benchmarks, we trained downstream heads on top of H-optimus-1, keeping H-optimus-1 frozen.
We therefore don't have fine-tuning scripts that we could share.
You should be able to find on github some scripts fine-tuning vision transformer backbones to specific tasks and you could adapt it to H-optimus-1.
I'm closing this issue, but please feel free to re-open if needed, thanks !
checkpt9 changed discussion status to closed