Transformers
PyTorch
code
t5
text2text-generation
code generation
code translation
bug fixing
text-generation-inference
Instructions to use saikatc/NatGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saikatc/NatGen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("saikatc/NatGen") model = AutoModelForSeq2SeqLM.from_pretrained("saikatc/NatGen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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model = AutoModelForSeq2SeqLM.from_pretrained("saikatc/NatGen")
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```
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NatGen: Generative Pre-training by “Naturalizing” Source Code [[`Paper Link`]](https://dl.acm.org/doi/abs/10.1145/3540250.3549162),[[`Code Repo`]](),[[`Slide`]](https://docs.google.com/presentation/d/1T6kjiohAAR1YvcNvTASR94HptA3xHGCl/edit?usp=sharing&ouid=111755026725574085503&rtpof=true&sd=true).
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For citation,
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```
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model = AutoModelForSeq2SeqLM.from_pretrained("saikatc/NatGen")
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```
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NatGen: Generative Pre-training by “Naturalizing” Source Code [[`Paper Link`]](https://dl.acm.org/doi/abs/10.1145/3540250.3549162),[[`Code Repo`]](https://github.com/saikat107/NatGen),[[`Slide`]](https://docs.google.com/presentation/d/1T6kjiohAAR1YvcNvTASR94HptA3xHGCl/edit?usp=sharing&ouid=111755026725574085503&rtpof=true&sd=true).
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For citation,
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```
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