m42-health
/

CXformer-base

Image Feature Extraction

dinov2_with_registers

Model card Files Files and versions

PrateekMunjal commited on May 11

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@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 base_model:
-- facebook/dinov2-with-registers-small
 ---
 # Model Card for CXFormer
@@ -48,7 +48,7 @@ The official training splits were used for CheXpert, MIMIC and NIH, and all avai
 from transformers import AutoModel, AutoImageProcessor
 from PIL import Image
-model_name = 'm42-health/CXformer-small' # or "m42-health/CXformer-base"
 image_processor = AutoImageProcessor.from_pretrained(model_name,trust_remote_code=True)
 model = AutoModel.from_pretrained(model_name)

 ---
 library_name: transformers
 base_model:
+- facebook/dinov2-with-registers-base
 ---
 # Model Card for CXFormer
 from transformers import AutoModel, AutoImageProcessor
 from PIL import Image
+model_name = "m42-health/CXformer-base"
 image_processor = AutoImageProcessor.from_pretrained(model_name,trust_remote_code=True)
 model = AutoModel.from_pretrained(model_name)