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--- |
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license: cc-by-sa-4.0 |
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--- |
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buffer-embedding-002是一个文本嵌入模型,该模型可以不进行任何微调来生成针对任何任务(例如,分类、检索、聚类、文本评估等)和领域(例如,科学、金融等)定制的文本嵌入。 |
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``` |
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from transformers import AutoTokenizer, AutoModel |
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tokenizer = AutoTokenizer.from_pretrained("csdc-atl/buffer-embedding-002", trust_remote_code=True) |
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model = AutoModel.from_pretrained("csdc-atl/buffer-embedding-002", trust_remote_code=True) |
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text = '通过海外区账号的CLI将海外区的AMI下载到S3中,再将AMI上传到中国区S3中' |
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input_ids = tokenizer.encode( |
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text, |
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add_special_tokens=True, |
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return_tensors='pt' |
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) |
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with torch.no_grad(): |
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embedding = model(input_ids) |
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print(y.shape) |
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``` |