Update README.md
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README.md
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- split: train
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path: data/train-*
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---
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- split: train
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path: data/train-*
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---
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from transformers import pipeline
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from datasets import load_dataset
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dataset_name = "Jieya/only_fractal_canny"
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faces = load_dataset(dataset_name)
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faces = faces["train"]
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captioner = pipeline("image-to-text",model="Salesforce/blip-image-captioning-large", device=0)
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def caption_image_data(example):
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image = example["image"]
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image_caption = captioner(image)[0]['generated_text']
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example['image_caption'] = image_caption
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return example
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faces_proc = faces.map(caption_image_data)
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faces_proc.push_to_hub(f"Jieya/captioned_fractal_canny")
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