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
Access to the model for research evaluation
#22
by danimlk - opened
Hello,
I recently applied for access to this model for academic research and benchmarking, but my request was declined. I would love the opportunity to use this model for our studies. Is it possible to reset my application form so I can try re submitting?
Thanks for your help!
Hi @danimlk , thank you for your interest in H-Optimus-1. We noticed your affiliation with a BioPharma company. We have alternative commercial licensing options for our industry partners. Please check H-Optimus-1 on AWS Marketplace: https://aws.amazon.com/marketplace/pp/prodview-cuad7l27fobx4?sr=0-1&ref_=beagle&applicationId=AWSMPContessa. Thanks.
ricardo-bioptimus changed discussion status to closed