Image Feature Extraction
Transformers
Safetensors
rudolf
pathology
histopathology
computational-pathology
digital-pathology
vision-transformer
foundation-model
self-supervised
feature-extraction
biology
medical
custom_code
Instructions to use Aignostics/RudolfV-2-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aignostics/RudolfV-2-S with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Aignostics/RudolfV-2-S", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Aignostics/RudolfV-2-S", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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