| ---
|
| language:
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| - en
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| - py
|
| license: mit
|
| tags:
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| - code-generation
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| - t5
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| - text2text-generation
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| - python
|
| pipeline_tag: text2text-generation
|
| widget:
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| - text: "translate English to Python: create a list of numbers from 1 to 10"
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| - text: "translate English to Python: write a function that calculates factorial"
|
| ---
|
|
|
| # NL2Py v2: English-to-Python Neural Code Translator
|
|
|
| [](https://github.com/abdullah00ashraf/abdullah00ashraf)
|
| [](https://opensource.org/licenses/MIT)
|
|
|
| > **Parent GitHub Repository**: [https://github.com/abdullah00ashraf/abdullah00ashraf](https://github.com/abdullah00ashraf/abdullah00ashraf)
|
| > **Ecosystem Documentation**: [Axiyon / Producttolaunch Catalog](https://github.com/abdullah00ashraf/sentinel-hufp-v7)
|
|
|
|
|
| Part of the **Axiyon Research Ecosystem**.
|
| **Author:** Abdullah Ashraf ([@abdullahashraf122](https://huggingface.co/abdullahashraf122))
|
| **GitHub Profile:** [https://github.com/abdullah00ashraf](https://github.com/abdullah00ashraf)
|
|
|
| ## Model Overview
|
| NL2Py v2 is a specialized seq2seq transformer fine-tuned on the `iamthedan/code-instructions-25k-python` dataset with structural prompt prefixes (`translate English to Python: `). It generates syntax-valid Python code snippets directly from natural language specifications.
|
|
|
| ### Architecture Highlights
|
| * **Base Architecture**: T5-small (60M parameters)
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| * **Tokenizer**: SentencePiece with custom prefix masking
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| * **Max Length**: 128 input tokens $\to$ 512 target tokens
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| * **Loss Function**: Cross-Entropy with label smoothing
|
|
|
| ### Interactive Demo
|
| Run the included `app.py` or execute the training pipeline via `NL2Py_v2_Colab_Pipeline.ipynb`.
|
|
|
