Update README.md
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README.md
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@@ -48,14 +48,12 @@ inputs = processor(raw_image, text, return_tensors="pt")
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out = model.generate(**inputs)
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print(processor.decode(out[0], skip_special_tokens=True))
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# >>> a photography of a woman and her dog
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# unconditional image captioning
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inputs = processor(raw_image, return_tensors="pt")
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out = model.generate(**inputs)
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print(processor.decode(out[0], skip_special_tokens=True))
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>>> a woman sitting on the beach with her dog
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```
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</details>
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@@ -83,14 +81,12 @@ inputs = processor(raw_image, text, return_tensors="pt").to("cuda")
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out = model.generate(**inputs)
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print(processor.decode(out[0], skip_special_tokens=True))
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# >>> a photography of a woman and her dog
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# unconditional image captioning
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inputs = processor(raw_image, return_tensors="pt").to("cuda")
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out = model.generate(**inputs)
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print(processor.decode(out[0], skip_special_tokens=True))
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>>> a woman sitting on the beach with her dog
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```
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</details>
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out = model.generate(**inputs)
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print(processor.decode(out[0], skip_special_tokens=True))
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# unconditional image captioning
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inputs = processor(raw_image, return_tensors="pt")
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out = model.generate(**inputs)
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print(processor.decode(out[0], skip_special_tokens=True))
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```
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</details>
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out = model.generate(**inputs)
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print(processor.decode(out[0], skip_special_tokens=True))
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# unconditional image captioning
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inputs = processor(raw_image, return_tensors="pt").to("cuda")
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out = model.generate(**inputs)
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print(processor.decode(out[0], skip_special_tokens=True))
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```
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</details>
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