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license: apache-2.0
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---
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license: apache-2.0
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---
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# GPyT Project
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GPyT is a GPT2 model trained from scratch (not fine tuned) on Python code from Github. Overall, it was ~200GB of pure
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Python code, the current GPyT model is a mere 2 epochs through this data, so it may benefit greatly from continued training and/or fine-tuning.
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Newlines are replaced by <N>
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Input to the model is code, up to the context length of 1024, with newlines replaced by <N>
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Here's a quick example of using this model:
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```py
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from transformers import AutoTokenizer, AutoModelWithLMHead
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tokenizer = AutoTokenizer.from_pretrained("Sentdex/GPyT")
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model = AutoModelWithLMHead.from_pretrained("Sentdex/GPyT")
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# copy and paste some code in here
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inp = """import"""
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newlinechar = "<N>"
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converted = inp.replace("\n", newlinechar)
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tokenized = tokenizer.encode(converted, return_tensors='pt')
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resp = model.generate(tokenized)
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decoded = tokenizer.decode(resp[0])
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reformatted = decoded.replace("<N>","\n")
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print(reformatted)
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```
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Should produce:
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```py
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import numpy as np
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import pytest
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import pandas as pd<N
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```
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This model does a ton more than just imports, however. For a bunch of examples and a better understanding of the model's capabilities: https://pythonprogramming.net/GPT-python-code-transformer-model-GPyT/
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## Considerations:
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> - This model is intended for educational and research use only. Do not trust model outputs.
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> - Model is highly likely to regurgitate code almost exactly as it saw it. It's up to you to determine licensing if you intend to actually use the generated code.
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> - All Python code was blindly pulled from github. This means included code is both Python 2 and 3, among other more subtle differences, such as tabs being 2 spaces in some cases and 4 in others...and more non-homologous things.
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> - Along with the above, this means the code generated could wind up doing or suggesting just about anything. Run the generated code at own risk...it could be anything
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