LavishKK/graphcodebert-slowcode-detector-unbalanced

1---2license: apache-2.03language:4- en5base_model:6- microsoft/graphcodebert-base7pipeline_tag: text-classification8library_name: transformers9tags:10- code11- classification12- BERT13- transformers14- Python15- Java16- JavaScript17---18# Model Card for Model ID19 20## Model Details21 22- **Developed by:** Lavish Kamal Kumar23- **Language(s) (NLP):** Python, Java, JavaScript24- **License:** Apache 2.025- **Finetuned from model:** microsoft/graphcodebert-base26 27## Uses28This model is a code classifier designed to detect whether a given code snippet is **fast** or **slow** in terms of performance.29 30It is particularly useful for:31 32- Flagging potentially inefficient or unoptimized code33- Assisting automated code review tools34 35The model predicts one of two labels:36 37- `LABEL_0`: Slow code (potential performance issues detected)38- `LABEL_1`: Fast code (no major performance concerns)39 40It works best on short to medium-length code snippets in supported programming languages and is intended for use with the 🤗 Transformers library.41 42## Supported Languages43- Python44- Java45- JavaScript