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---
license: apache-2.0
language:
- en
base_model:
- microsoft/graphcodebert-base
pipeline_tag: text-classification
library_name: transformers
tags:
- code
- classification
- BERT
- transformers
- Python
- Java
- JavaScript
---
# Model Card for Model ID
## Model Details
- **Developed by:** Lavish Kamal Kumar
- **Language(s) (NLP):** Python, Java, JavaScript
- **License:** Apache 2.0
- **Finetuned from model:** microsoft/graphcodebert-base
## Uses
This model is a code classifier designed to detect whether a given code snippet is **fast** or **slow** in terms of performance.
It is particularly useful for:
- Flagging potentially inefficient or unoptimized code
- Assisting automated code review tools
The model predicts one of two labels:
- `LABEL_0`: Slow code (potential performance issues detected)
- `LABEL_1`: Fast code (no major performance concerns)
It works best on short to medium-length code snippets in supported programming languages and is intended for use with the 🤗 Transformers library.
## Supported Languages
- Python
- Java
- JavaScript |