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
Access request pending
Hi team, I submitted an access request for H-Optimus-1 from my institutional email a while ago for academic research (benchmarking pathology foundation models on weakly supervised WSI classification), but haven't heard back yet. Could you share the typical review timeline, or let me know if anything additional is needed? Thanks for making this model available.
Me too — I also submitted an access request for H-Optimus-1 from my institutional email for academic research and haven’t heard back yet. Would love to know the typical review timeline or if any additional info is needed. Thanks!
Same here — I submitted an academic access request for H-Optimus-1 from my institutional email some time ago for computational pathology and WSI foundation model research, but I’m still waiting for a response. Just adding my case here in case the team is tracking pending requests in this thread. Any guidance on the review process would be appreciated.
Same here. I have submitted several academic access requests for H-Optimus-1 using my institutional email over the past year for computational pathology research in liver cancer, but have not received a response so far. Any guidance on the review process would be greatly appreciated.
Hi, all. Thank you for your interest in Bioptimus' models. As part of commitment to the scientific community, we are making H-Optimus-1 available only for research purposes. In order to get access, we require your institutional email to match your Hugging Face account. Please validate if your request was correctly submitted. Thank you.
We have validated that the requests submitted in this thread were already accepted and should now be able to access the model. Closing.