---
license: apache-2.0
language:
- en
base_model:
- microsoft/codebert-base
pipeline_tag: text-classification
library_name: transformers
tags:
- code
- transformers
- classification
- BERT
- Python
- Java
- JavaScript
---
# Model Card for Model ID

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by:** Lavish Kamal Kumar
- **License:** Apache 2.0
- **Finetuned from model:** microsoft/codebert-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`: Fast code (no major performance concerns)
- `LABEL_1`: Slow code (potential performance issues detected)

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