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README.md
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West et al.'s model from their "reflective decoding" paper.
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Sample usage:
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```python
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import torch
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from modeling_opengpt2 import OpenGPT2LMHeadModel
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from padded_encoder import Encoder
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path_to_backward = 'danyaljj/opengpt2_pytorch_backward'
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encoder = Encoder()
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model_backward = OpenGPT2LMHeadModel.from_pretrained(path_to_backward)
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input = "until she finally won."
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input_ids = encoder.encode(input)
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input_ids = torch.tensor([input_ids[::-1] ], dtype=torch.int)
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print(input_ids)
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output = model_backward.generate(input_ids)
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output_text = encoder.decode(output.tolist()[0][::-1])
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print(output_text)
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```
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Download the additional files from here: https://github.com/peterwestuw/GPT2ForwardBackward
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