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--- |
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pipeline_tag: sentence-similarity |
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language: en |
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license: apache-2.0 |
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tags: |
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- sentence-transformers |
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- feature-extraction |
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- sentence-similarity |
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- transformers |
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- onnx |
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--- |
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# ONNX convert all-roberta-large-v1 |
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## Conversion of [sentence-transformers/all-roberta-large-v1](https://huggingface.co/sentence-transformers/all-roberta-large-v1) |
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## Usage (HuggingFace Optimum) |
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Using this model becomes easy when you have [optimum](https://github.com/huggingface/optimum) installed: |
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``` |
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python -m pip install optimum |
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``` |
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Then you can use the model like this: |
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```python |
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from optimum.onnxruntime.modeling_ort import ORTModelForCustomTasks |
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model = ORTModelForCustomTasks.from_pretrained("vamsibanda/sbert-all-roberta-large-v1-with-pooler") |
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tokenizer = AutoTokenizer.from_pretrained("vamsibanda/sbert-all-roberta-large-v1-with-pooler") |
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inputs = tokenizer("I love burritos!", return_tensors="pt") |
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pred = model(**inputs) |
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embedding = pred['pooler_output'] |
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``` |
