LavishKK/codebert-slowcode-detector

1---2license: apache-2.03language:4- en5base_model:6- microsoft/codebert-base7pipeline_tag: text-classification8library_name: transformers9tags:10- code11- transformers12- classification13- BERT14- Python15- Java16- JavaScript17---18# Model Card for Model ID19 20## Model Details21 22### Model Description23 24<!-- Provide a longer summary of what this model is. -->25 26 27 28- **Developed by:** Lavish Kamal Kumar29- **License:** Apache 2.030- **Finetuned from model:** microsoft/codebert-base31 32 33## Uses34This model is a code classifier designed to detect whether a given code snippet is **fast** or **slow** in terms of performance.35 36It is particularly useful for:37- Flagging potentially inefficient or unoptimized code38- Assisting automated code review tools39 40The model predicts one of two labels:41- `LABEL_0`: Fast code (no major performance concerns)42- `LABEL_1`: Slow code (potential performance issues detected)43 44It works best on short to medium-length code snippets in supported programming languages and is intended for use with the 🤗 Transformers library.45 46## Supported Languages47- Python48- Java49- JavaScript