codeparrot/codecomplex
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How to use codeparrot/unixcoder-java-complexity-prediction with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="codeparrot/unixcoder-java-complexity-prediction") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("codeparrot/unixcoder-java-complexity-prediction")
model = AutoModelForSequenceClassification.from_pretrained("codeparrot/unixcoder-java-complexity-prediction")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