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JavaRoBERTa-Tara

A RoBERTa model pretrained on, code_search_net Java software code.

Training Data

The model was trained on 10,223,695 Java files retrieved from open source projects on GitHub.

Training Objective

A MLM (Masked Language Model) objective was used to train this model.

Usage

from transformers import pipeline
pipe = pipeline('fill-mask', model='emre/java-RoBERTa-Tara-small')
output = pipe(CODE) # Replace with Java code; Use '<mask>' to mask tokens/words in the code.

Why Tara?

she is the name of my little baby girl :)

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Hosted inference API
Fill-Mask
Examples
Examples
Mask token: <mask>
This model can be loaded on the Inference API on-demand.

Dataset used to train emre/java-RoBERTa-Tara-small