Use CPU instead of unsupported GPU

[santoshbs]

I have an older NVIDIA GPU that is unfortunately not supported by PyTorch. As such, I was unable to use tweetNLP as it tries to use GPU since torch.cuda.is_available() returns True.

One way I was able to get around was modifying the model.py as follows:

        # GPU setup (https://github.com/cardiffnlp/tweetnlp/issues/15)
        if use_gpu: 
            if torch.cuda.is_available() and torch.cuda.device_count() > 0:
                self.device = torch.device('cuda')
                print('Note: Using GPU') 
            elif hasattr(torch.backends, "mps") and torch.backends.mps.is_available() and torch.backends.mps.is_built():
                self.device = torch.device("mps")
                print('Note: Using MPS') 
            else:
                self.device = torch.device('cpu')
                print('Note: Using CPU') 
        else:
            self.device = torch.device('cpu')
            print('Note: Using CPU') 

Sharing it, just in case it helps someone else encountering a similar situation.

sbs