Models 10
microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224
BiomedCLIP is a biomedical vision-language foundation model that is pretrained on PMC-15M, a dataset of 15 million figure-caption pairs extr…
laion/CLIP-ViT-bigG-14-laion2B-39B-b160k
1. Model Details 2. Uses 3. Training Details 4. Evaluation 5. Acknowledgements 6. Citation 7. How To Get Started With the Model
laion/CLIP-ViT-H-14-laion2B-s32B-b79K
1. Model Details 2. Uses 3. Training Details 4. Evaluation 5. Acknowledgements 6. Citation 7. How To Get Started With the Model
redlessone/DermFM-Zero
DermFM-Zero: A Vision-Language Foundation Model for Zero-shot Clinical Collaboration and Automated Concept Discovery in Dermatology
apple/DFN5B-CLIP-ViT-H-14-378
A CLIP (Contrastive Language-Image Pre-training) model trained on DFN-5B. Data Filtering Networks (DFNs) are small networks used to automati…
mkaichristensen/echo-clip
mkaichristensen/echo-clip-r
ryanyip7777/pmc_vit_l_14
The model is fine-tuned from openai's ViT-L-14 using PMC_OA_beta and roco's data sets, using the tool open_clip（https://github.com/mlfoundat…
wisdomik/QuiltNet-B-16
QuiltNet-B-16 is a CLIP ViT-B/16 vision-language foundation model trained on the Quilt-1M dataset curated from representative histopathology…
wisdomik/QuiltNet-B-32
QuiltNet-B-32 is a CLIP ViT-B/32 vision-language foundation model trained on the Quilt-1M dataset curated from representative histopathology…