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--- |
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language: en |
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license: mit |
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tags: |
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- exbert |
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- text-classification |
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- onnx |
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- fp16 |
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- roberta |
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- optimum |
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datasets: |
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- bookcorpus |
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- wikipedia |
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base_model: |
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- openai-community/roberta-large-openai-detector |
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--- |
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# RoBERTa Large OpenAI Detector |
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This model is a FP16 optimized version of [openai-community/roberta-large-openai-detector](https://huggingface.co./openai-community/roberta-large-openai-detector/). It runs exclusively on the GPU. |
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The speedup compared to the base ONNX and pytorch versions depends chiefly on your GPU's FP16:FP32 ratio. For more comparison benchmarks and sample code of a related model, check here: [https://github.com/joaopn/gpu_benchmark_goemotions](https://github.com/joaopn/gpu_benchmark_goemotions). |
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You will need the GPU version of the ONNX Runtime. It can be installed with |
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``` |
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pip install optimum[onnxruntime-gpu] --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/ |
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``` |
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For convenience, this [benchmark repo](https://github.com/joaopn/gpu_benchmark_goemotions) provides an `environment.yml` file to create a conda env with all the requirements. |
