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1aurent
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resnext101_32x8d.tiatoolbox-pcam

Image Classification
timm
Safetensors
feature-extraction
biology
cancer
histology
TIA
tiatoolbox
Model card Files Community
1aurent commited on
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8a54887
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Update README.md

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  1. README.md +5 -3
README.md CHANGED
@@ -11,9 +11,11 @@ tags:
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  library_name: timm
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  pipeline_tag: image-classification
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  license: cc0-1.0
 
 
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  ---
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- # Model card for resnext101_32x4d.tiatoolbox-pcam
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  A ResNeXt-D image classification model. \
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  Trained by [Tissue Image Analytics (TIA) Centre](https://warwick.ac.uk/fac/cross_fac/tia/) on "pcam" histology patches.
@@ -48,7 +50,7 @@ img = Image.open(
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  # load model from the hub
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  model = timm.create_model(
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- model_name="hf-hub:1aurent/resnext101_32x4d.tiatoolbox-pcam",
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  pretrained=True,
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  ).eval()
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@@ -76,7 +78,7 @@ img = Image.open(
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  # load model from the hub
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  model = timm.create_model(
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- model_name="hf-hub:1aurent/resnext101_32x4d.tiatoolbox-pcam",
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  pretrained=True,
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  num_classes=0,
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  ).eval()
 
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  library_name: timm
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  pipeline_tag: image-classification
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  license: cc0-1.0
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+ datasets:
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+ - 1aurent/PatchCamelyon
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  ---
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+ # Model card for resnext101_32x8d.tiatoolbox-pcam
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  A ResNeXt-D image classification model. \
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  Trained by [Tissue Image Analytics (TIA) Centre](https://warwick.ac.uk/fac/cross_fac/tia/) on "pcam" histology patches.
 
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  # load model from the hub
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  model = timm.create_model(
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+ model_name="hf-hub:1aurent/resnext101_32x8d.tiatoolbox-pcam",
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  pretrained=True,
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  ).eval()
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  # load model from the hub
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  model = timm.create_model(
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+ model_name="hf-hub:1aurent/resnext101_32x8d.tiatoolbox-pcam",
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  pretrained=True,
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  num_classes=0,
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  ).eval()