 Usage (HuggingFace Optimum) Using this model becomes easy when you have [optimum](https://github.com/huggingface/optimum) installed: ``` python -m pip install optimum ``` Then you can use the model like this: ```python from optimum.onnxruntime.modeling_ort import ORTModelForCustomTasks  model = ORTModelForCustomTasks.from_pretrained("vamsibanda/sbert-all-roberta-large-v1-with-pooler") tokenizer = AutoTokenizer.from_pretrained("vamsibanda/sbert-all-roberta-large-v1-with-pooler") inputs = tokenizer("I love burritos!", return_tensors="pt") pred = model(**inputs) embedding = pred['pooler_output'] ```