Instructions to use ikim-uk-essen/BiomedCLIP_ViT_patch16_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ikim-uk-essen/BiomedCLIP_ViT_patch16_224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="ikim-uk-essen/BiomedCLIP_ViT_patch16_224")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("ikim-uk-essen/BiomedCLIP_ViT_patch16_224") model = AutoModel.from_pretrained("ikim-uk-essen/BiomedCLIP_ViT_patch16_224") - Notebooks
- Google Colab
- Kaggle
3D modality input
#2 opened about 1 year ago
by
LeonardQ
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot