nielsr HF staff commited on
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Update README.md

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  1. README.md +3 -3
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@@ -34,7 +34,7 @@ fine-tuned versions on a task that interests you.
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  Here is how to use this model:
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  ```python
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- from transformers import GLPNFeatureExtractor, GLPNForDepthEstimation
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  import torch
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  import numpy as np
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  from PIL import Image
@@ -43,11 +43,11 @@ import requests
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  url = "http://images.cocodataset.org/val2017/000000039769.jpg"
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  image = Image.open(requests.get(url, stream=True).raw)
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- feature_extractor = GLPNFeatureExtractor.from_pretrained("vinvino02/glpn-kitti")
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  model = GLPNForDepthEstimation.from_pretrained("vinvino02/glpn-kitti")
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  # prepare image for the model
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- inputs = feature_extractor(images=image, return_tensors="pt")
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  with torch.no_grad():
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  outputs = model(**inputs)
 
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  Here is how to use this model:
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  ```python
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+ from transformers import GLPNImageProcessor, GLPNForDepthEstimation
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  import torch
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  import numpy as np
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  from PIL import Image
 
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  url = "http://images.cocodataset.org/val2017/000000039769.jpg"
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  image = Image.open(requests.get(url, stream=True).raw)
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+ processor = GLPNImageProcessor.from_pretrained("vinvino02/glpn-kitti")
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  model = GLPNForDepthEstimation.from_pretrained("vinvino02/glpn-kitti")
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  # prepare image for the model
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+ inputs = processor(images=image, return_tensors="pt")
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  with torch.no_grad():
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  outputs = model(**inputs)