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modify example in README to use the new device and dtype function
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@ -112,7 +112,7 @@ import torch
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from transformers import AutoModelForCausalLM
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from deepseek_vl.models import VLChatProcessor, MultiModalityCausalLM
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from deepseek_vl.utils.io import load_pil_images
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from deepseek_vl.utils.io import load_pil_images, get_device_and_dtype
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# specify the path to the model
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@ -121,7 +121,9 @@ vl_chat_processor: VLChatProcessor = VLChatProcessor.from_pretrained(model_path)
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tokenizer = vl_chat_processor.tokenizer
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vl_gpt: MultiModalityCausalLM = AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True)
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vl_gpt = vl_gpt.to(torch.bfloat16).cuda().eval()
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device, dtype = get_device_and_dtype()
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vl_gpt = vl_gpt.to(dtype).to(device).eval()
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conversation = [
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{
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