| language: en | |
| tags: | |
| - code-representation-learning | |
| - program-synthesis | |
| datasets: | |
| - nlc2cmd | |
| metrics: | |
| - metric1 | |
| - metric2 | |
| thumbnail: Neural Program Synthesis for Bash | |
| # BashGPT-Neo | |
| ## What is it ? | |
| BashGPT-Neo is a [Neural Program Synthesis](https://www.microsoft.com/en-us/research/project/neural-program-synthesis/) Model for Bash Commands and Shell Scripts. Trained on the data provided by [NLC2CMD](https://nlc2cmd.us-east.mybluemix.net/). It is fine-tuned version of GPTNeo-125M by EleutherAI. | |
| ## Usage | |
| ```py | |
| from transformers import AutoTokenizer, AutoModelForCausalLM | |
| tokenizer = AutoTokenizer.from_pretrained("reshinthadith/BashGPTNeo") | |
| model = AutoModelForCausalLM.from_pretrained("reshinthadith/BashGPTNeo") | |
| ``` | |
| ## Core Contributors 👥 | |
| - [Reshinth Adithyan](https://github.com/reshinthadithyan) | |
| - [Aditya Thuruvas](https://github.com/dhuruvasaditya) |