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protectai/CodeBERTa-language-id-onnx
CodeBERTa-language-id-onnx is a text classification model from protectai. Use it when you need a label for a piece of text. It is set up for transformers.
[!WARNING] THIS PROJECT HAS BEEN ARCHIVED. This project and its associated code on GitHub are no longer under active development or maintained.
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From the Hugging Face model README
[!WARNING] THIS PROJECT HAS BEEN ARCHIVED.
This project and its associated code on GitHub are no longer under active development or maintained.
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
"""))
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