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README.md
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# paligemma_race
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This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on the
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## Model description
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# paligemma_race
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This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on the FairFace dataset.
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``` python
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from PIL import Image
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import torch
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from transformers import PaliGemmaProcessor, PaliGemmaForConditionalGeneration, BitsAndBytesConfig, TrainingArguments, Trainer
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model = PaliGemmaForConditionalGeneration.from_pretrained('NYUAD-ComNets/paligemma_race',torch_dtype=torch.bfloat16)
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input_text = "what is emotion of person in the image?"
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processor = PaliGemmaProcessor.from_pretrained("google/paligemma-3b-pt-224")
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model.to(device)
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input_image = Image.open('image_path')
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inputs = processor(text=input_text, images=input_image, padding="longest", do_convert_rgb=True, return_tensors="pt").to(device)
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inputs = inputs.to(dtype=model.dtype)
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with torch.no_grad():
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output = model.generate(**inputs, max_length=500)
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result=processor.decode(output[0], skip_special_tokens=True)[len(input_text):].strip()
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```
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## Model description
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