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README.md CHANGED
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  ## Usage
 
 
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  ```python
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  import torch
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- from model import MetalAmpNet # make sure model.py is in the working directory
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- # Load checkpoint
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  ckpt = torch.load("metal_amp_v2.pt", map_location="cpu")
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-
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- # Initialize model
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  model = MetalAmpNet()
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  model.load_state_dict(ckpt["model"])
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  model.eval()
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-
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- # Example inference
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- # x: torch.Tensor of shape [1, 1, window_size] (single channel)
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- # y = model(x)
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  ```
 
 
 
 
 
 
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  ## Usage
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+ This is a model I trained to mimic a JCM 800 AMP. It doesn't sound very good, but as a first pass, I'm glad I have it.
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+
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  ```python
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  import torch
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+ from model import MetalAmpNet
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  ckpt = torch.load("metal_amp_v2.pt", map_location="cpu")
 
 
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  model = MetalAmpNet()
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  model.load_state_dict(ckpt["model"])
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  model.eval()
 
 
 
 
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  ```
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+
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+
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+ ## COMING SOON
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+ You can look at `infer.py`, `model.py` and `config.py` for deep-dive.
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+ ![](infer.PNG)
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infer.PNG ADDED