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Update app.py
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app.py
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@@ -3,14 +3,14 @@ import spaces
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model_path = 'LLM4Binary/llm4decompile-
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.bfloat16).cuda()
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description = """
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# LLM4Decompile
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This is a space for testing the [LLM4Decompile
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"""
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@spaces.GPU
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model_path = 'LLM4Binary/llm4decompile-6.7b-v2' # V2 Model
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.bfloat16).cuda()
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description = """
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# LLM4Decompile 6.7B V2
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This is a space for testing the [LLM4Decompile 6.7B V2 model](https://huggingface.co/LLM4Binary/llm4decompile-6.7b-v2). It expects to be given a decompiled function output by Ghidra. I simply copy and paste from the Ghidra GUI, but this is not the method recommended by the official model page, so YMMV.
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"""
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@spaces.GPU
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