# 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")Quick Links
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
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="codeparrot/unixcoder-java-complexity-prediction")