metadata

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