ONNX-converted models
					Collection
				
Models converted to ONNX for faster CPU inference on LLM Guard.
					• 
				27 items
				• 
				Updated
					
				•
					
					2
This model is conversion of huggingface/CodeBERTa-language-id to ONNX. The model was converted to ONNX using the 🤗 Optimum library.
Base Model: CodeBERTa, a variant of the RoBERTa model trained specifically for programming languages.
Modifications: No changes except for the conversion.
Loading the model requires the 🤗 Optimum library installed.
from optimum.onnxruntime import ORTModelForSequenceClassification
from transformers import AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("laiyer/CodeBERTa-language-id")
model = ORTModelForSequenceClassification.from_pretrained("laiyer/CodeBERTa-language-id")
classifier = pipeline(
    task="text-classification",
    model=model,
    tokenizer=tokenizer,
)
print(classifier("""
def f(x):
    return x**2
"""))
Join our Slack to give us feedback, connect with the maintainers and fellow users, ask questions, or engage in discussions about LLM security!
Base model
huggingface/CodeBERTa-small-v1