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--- |
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datasets: |
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- code_search_net |
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language: |
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- code |
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pipeline_tag: text-classification |
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inference: false |
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tags: |
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- code |
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- programming-language |
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base_model: huggingface/CodeBERTa-language-id |
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--- |
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# ONNX version of huggingface/CodeBERTa-language-id |
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**This model is conversion of [huggingface/CodeBERTa-language-id](https://huggingface.co/huggingface/CodeBERTa-language-id) to ONNX.** The model was converted to ONNX using the [🤗 Optimum](https://huggingface.co/docs/optimum/index) library. |
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## Model Architecture |
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**Base Model**: CodeBERTa, a variant of the RoBERTa model trained specifically for programming languages. |
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**Modifications**: No changes except for the conversion. |
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## Usage |
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### Optimum |
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Loading the model requires the [🤗 Optimum](https://huggingface.co/docs/optimum/index) library installed. |
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```python |
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from optimum.onnxruntime import ORTModelForSequenceClassification |
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from transformers import AutoTokenizer, pipeline |
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tokenizer = AutoTokenizer.from_pretrained("laiyer/CodeBERTa-language-id") |
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model = ORTModelForSequenceClassification.from_pretrained("laiyer/CodeBERTa-language-id") |
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classifier = pipeline( |
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task="text-classification", |
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model=model, |
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tokenizer=tokenizer, |
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) |
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print(classifier(""" |
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def f(x): |
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return x**2 |
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""")) |
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``` |
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### LLM Guard |
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[Code scanner](https://llm-guard.com/input_scanners/code/) |
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## Community |
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Join our Slack to give us feedback, connect with the maintainers and fellow users, ask questions, |
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or engage in discussions about LLM security! |
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<a href="https://join.slack.com/t/laiyerai/shared_invite/zt-28jv3ci39-sVxXrLs3rQdaN3mIl9IT~w"><img src="https://github.com/laiyer-ai/llm-guard/blob/main/docs/assets/join-our-slack-community.png?raw=true" width="200"></a> |
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