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README.md
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# Peacock
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Peacock is InstructBLIP model using AraLLaMA as language model. Peacock was introduced in the paper [Peacock: A Family of Arabic Multimodal Large Language Models and Benchmarks]((https://arxiv.org/abs/2403.01031)).
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# How to use
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Usage is as follows:
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```
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from transformers import InstructBlipProcessor, InstructBlipForConditionalGeneration
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import torch
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from PIL import Image
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import requests
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model = InstructBlipForConditionalGeneration.from_pretrained("Fakhraddin/InstructBlip-AraLLaMA")
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processor = InstructBlipProcessor.from_pretrained("Fakhraddin/InstructBlip-AraLLaMA")
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device = "cuda" if torch.cuda.is_available() else "cpu"
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model.to(device)
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url = "https://raw.githubusercontent.com/salesforce/LAVIS/main/docs/_static/Confusing-Pictures.jpg"
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image = Image.open(requests.get(url, stream=True).raw).convert("RGB")
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prompt = "What is unusual about this image?"
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inputs = processor(images=image, text=prompt, return_tensors="pt").to(device)
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outputs = model.generate(
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**inputs,
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do_sample=False,
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num_beams=5,
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max_length=256,
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min_length=1,
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top_p=0.9,
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repetition_penalty=1.5,
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length_penalty=1.0,
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temperature=1,
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)
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generated_text = processor.batch_decode(outputs, skip_special_tokens=True)[0].strip()
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print(generated_text)
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```
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