Image Classification
timm
PyTorch
rdnet
DongHyunKim commited on
Commit
48b88b5
1 Parent(s): 8a505e2

Update README.md

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  1. README.md +0 -3
README.md CHANGED
@@ -30,7 +30,6 @@ from urllib.request import urlopen
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  from PIL import Image
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  import timm
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  import torch
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- import rdnet # register rdnet models to timm
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  img = Image.open(urlopen(
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  'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
@@ -53,7 +52,6 @@ top5_probabilities, top5_class_indices = torch.topk(output.softmax(dim=1) * 100,
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  from urllib.request import urlopen
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  from PIL import Image
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  import timm
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- import rdnet # register rdnet models to timm
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  img = Image.open(urlopen(
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  'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
@@ -88,7 +86,6 @@ for o in output:
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  from urllib.request import urlopen
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  from PIL import Image
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  import timm
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- import rdnet # register rdnet models to timm
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  img = Image.open(urlopen(
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  'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
 
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  from PIL import Image
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  import timm
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  import torch
 
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  img = Image.open(urlopen(
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  'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
 
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  from urllib.request import urlopen
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  from PIL import Image
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  import timm
 
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  img = Image.open(urlopen(
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  'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
 
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  from urllib.request import urlopen
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  from PIL import Image
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  import timm
 
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  img = Image.open(urlopen(
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  'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'