| GPyT is a GPT2 model trained from scratch (not fine tuned) on Python code from Github. Overall, it was ~80GB of pure 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. | |
| Newlines are replaced by `<N>` | |
| Considerations: | |
| 1. This model is intended for educational and research use only. Do not trust model outputs. | |
| 2. 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. | |
| 3. 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. | |
| 4. 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* | |
| Input to the model is code, up to the context length of 1024, with newlines replaced by `<N>` | |
| Here's an example of a quick converter to take your multi-line code and replace the newlines: | |
| ```py | |
| inp = """def do_something(): | |
| print("Hello") | |
| """ | |
| newlinechar = "<N>" | |
| converted = inp.replace("\ | |
| ", newlinechar) | |
| print("length:", len(converted)) | |
| print(converted) | |
| ``` | |
| This should give you something like: | |
| `def do_something():<N> print("Hello")<N>` | |
| ...which is what the model is expecting as input. | |