This is a fine-tuned version of [UniXcoder](https://huggingface.co/microsoft/unixcoder-base-nine), a unified cross-modal pre-trained model for programming languages, on [CodeComplex](https://huggingface.co/datasets/codeparrot/codecomplex), a dataset for complexity prediction of Java code. You can also find the code for the fine-tuning in this [repository](https://github.com/huggingface/transformers/tree/main/examples/research_projects/codeparrot/examples)
{"language": "code", "license": "apache-2.0", "datasets": ["codeparrot/codecomplex"]}
transformers pytorch roberta text-classification code dataset:codeparrot/codecomplex license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #roberta #text-classification #code #dataset-codeparrot/codecomplex #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

This is a fine-tuned version of UniXcoder, a unified cross-modal pre-trained model for programming languages, on CodeComplex, a dataset for complexity prediction of Java code. You can also find the code for the fine-tuning in this repository
TAGS
#transformers #pytorch #roberta #text-classification #code #dataset-codeparrot/codecomplex #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

passage: TAGS
#transformers #pytorch #roberta #text-classification #code #dataset-codeparrot/codecomplex #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
