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Update app.py
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app.py
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@@ -8,7 +8,9 @@ device = 'cuda' if torch.cuda.is_available() else "cpu"
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# torch.set_default_device("cuda")
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# Initialize the model and tokenizer
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model = AutoModelForCausalLM.from_pretrained("ManishThota/Sparrow"
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tokenizer = AutoTokenizer.from_pretrained("ManishThota/Sparrow", trust_remote_code=True)
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def predict_answer(image, question):
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# torch.set_default_device("cuda")
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# Initialize the model and tokenizer
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model = AutoModelForCausalLM.from_pretrained("ManishThota/Sparrow", torch_dtype=torch.float16,
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device_map="auto",
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trust_remote_code=True).to(device)
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tokenizer = AutoTokenizer.from_pretrained("ManishThota/Sparrow", trust_remote_code=True)
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def predict_answer(image, question):
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