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from transformers import ViTImageProcessor, AutoModelForImageClassification |
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from PIL import Image |
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import requests |
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url = 'https://images-ng.pixai.art/images/orig/2339688a-b1b0-4646-9091-aea5bc17d834' |
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image = Image.open(requests.get(url, stream=True).raw) |
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processor = ViTImageProcessor.from_pretrained('AdamCodd/vit-base-nsfw-detector') |
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model = AutoModelForImageClassification.from_pretrained('AdamCodd/vit-base-nsfw-detector') |
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inputs = processor(images=image, return_tensors="pt") |
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outputs = model(**inputs) |
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logits = outputs.logits |
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predicted_class_idx = logits.argmax(-1).item() |
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print("Predicted class:", model.config.id2label[predicted_class_idx]) |
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