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