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
Request to Access H-optimus-1
#14
by Narminio - opened
Dear biomtimus team, I would like to have access to H-optimus-1 for one my research projects, since this model is one of the best performing one, I would like to include this in my benchmarking approachs. My request has been rejected previously. Could you please re-consider this and let me know the reason for the rejection?
Hi @Narminio , thanks for flagging. We have reviewed your access request and have granted you access. The previous rejection was based on a mismatch between your account email and institutional email, which has now been corrected. Please note that this access is granted only for academic research purposes, as we have separate licenses for commercial usage. Thanks.
ricardo-bioptimus changed discussion status to closed