Create README.md
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README.md
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# Load the Model
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```python
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from transformers import GPT2Tokenizer, GPT2LMHeadModel
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import torch
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# start and end tokens for generation
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START_TKN = "<|startoftext|>"
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END_TKN = "<|endoftext|>"
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# fine tuned on onion dataset w/ distilgpt2
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tokenizer = GPT2Tokenizer.from_pretrained("distilgpt2")
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model = GPT2LMHeadModel.from_pretrained("distilgpt2")
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# use gpu if available
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device = "cpu"
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if torch.cuda.is_available():
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device = "cuda"
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model = model.to(device)
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# get 70th epoch (decent results)
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epoch = 70
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modelpath = f'distilgpt2_onion_{epoch}.pt'
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# load model
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model.load_state_dict(torch.load(modelpath))
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```
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