sosigikiller commited on
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e4d78d5
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1 Parent(s): 9cf6c45

change_folder

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Files changed (2) hide show
  1. config.json +1 -2
  2. example_2.py +16 -0
config.json CHANGED
@@ -9,8 +9,7 @@
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  "head_init_scale": 1.0,
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  "torch_dtype": "float32",
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-
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- // Auto ํด๋ž˜์Šค๋“ค์ด ์ด ๋ ˆํฌ ์•ˆ์˜ ์–ด๋–ค ์ฝ”๋“œ๋ฅผ ์จ์•ผ ํ•˜๋Š”์ง€ ์•Œ๋ ค์ฃผ๋Š” ๋ถ€๋ถ„
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  "auto_map": {
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  "AutoConfig": "modeling_csatv2.CSATv2Config",
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  "AutoModelForImageClassification": "modeling_csatv2.CSATv2ForImageClassification"
 
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  "head_init_scale": 1.0,
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  "torch_dtype": "float32",
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+
 
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  "auto_map": {
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  "AutoConfig": "modeling_csatv2.CSATv2Config",
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  "AutoModelForImageClassification": "modeling_csatv2.CSATv2ForImageClassification"
example_2.py ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ from transformers import AutoImageProcessor, AutoModelForImageClassification
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+ from PIL import Image
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+ import requests
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+
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+ processor = AutoImageProcessor.from_pretrained("Hyunil/CSATv2", trust_remote_code=True)
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+ model = AutoModelForImageClassification.from_pretrained("Hyunil/CSATv2", trust_remote_code=True)
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+
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+ url = "https://images.unsplash.com/photo-1516116216624-53e697fedbea"
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+ image = Image.open(requests.get(url, stream=True).raw).convert("RGB")
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+
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+ inputs = processor(image, return_tensors="pt")
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+ outputs = model(**inputs)
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+ probs = outputs.logits.softmax(dim=-1)
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+
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+ top_prob, top_idx = probs.topk(5)
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+ print(top_idx, top_prob)