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--- |
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language: |
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- en |
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tags: |
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- formality |
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license: cc-by-nc-sa-4.0 |
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--- |
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This model represents an ONNX-optimized version of the original [roberta-base-formality-ranker](https://huggingface.co/s-nlp/roberta-base-formality-ranker) model. |
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It has been specifically tailored for GPUs and may exhibit variations in performance when run on CPUs. |
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## Dependencies |
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Please install the following dependency before you begin working with the model: |
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```sh |
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pip install optimum[onnxruntime-gpu] |
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``` |
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## How to use |
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```python |
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from transformers import AutoTokenizer |
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from optimum.onnxruntime import ORTModelForSequenceClassification |
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from optimum.pipelines import pipeline |
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# load tokenizer and model weights |
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tokenizer = AutoTokenizer.from_pretrained('Deepchecks/roberta_base_formality_ranker_onnx') |
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model = ORTModelForSequenceClassification.from_pretrained('Deepchecks/roberta_base_formality_ranker_onnx') |
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# prepare the pipeline and generate inferences |
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user_inputs = ["I hope this email finds you well", "I hope this email find you swell", "What's up doc?"] |
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pip = pipeline(task='text-classification', model=model, tokenizer=tokenizer, device=device, accelerator="ort") |
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res = pip(user_inputs, batch_size=64, truncation="only_first") |
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``` |
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## Licensing Information |
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[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa]. |
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[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa] |
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[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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[cc-by-nc-sa-image]: https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png |
