Biomedclip Pubmedbert_256 Vit_base_patch 16_224
Microsoft's BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 is a biomedical vision-language foundation model pretrained on 15 million figure-caption pairs from biomedical research articles, exceling at various vision-language processing tasks such as cross-modal retrieval and visual question answering. Its notable technical trait is the use of a Vision Transformer as the image encoder, combined with PubMedBERT as the text encoder.
Input
Output
Context
0K
Max Output
-
Parameters
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Technical Specifications
Model TypeVision
Context Window256 tokens
Max Output TokensNot available
ParametersNot available
Release DateApr 5, 2023
Training CutoffNot available
Licensemit
Open SourceYes
Input Modalities
Image
Output Modalities
Text
Capabilities
Resources & Links
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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