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license: apache-2.0 |
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### Usage |
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Using Huggingface transformers |
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``` |
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import torch |
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from transformers import AutoModelForSequenceClassification, AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained('Alibaba-NLP/gte-multilingual-reranker-base') |
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model = AutoModelForSequenceClassification.from_pretrained('Alibaba-NLP/gte-multilingual-reranker-base', trust_remote_code=True) |
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model.eval() |
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pairs = [["中国的首都在哪儿"，"北京"], ["what is the capital of China?", "北京"], ["how to implement quick sort in python?","Introduction of quick sort"]] |
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with torch.no_grad(): |
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inputs = tokenizer(pairs, padding=True, truncation=True, return_tensors='pt', max_length=512) |
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scores = model(**inputs, return_dict=True).logits.view(-1, ).float() |
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print(scores) |
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``` |
