How to use BAAI/bge-large-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/bge-large-zh")
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-large-zh") model = AutoModel.from_pretrained("BAAI/bge-large-zh")
在fastchat上部署了bge模型，前后两次输入向量列表['a', 'b', 'c']和['a', 'f', 'e', 'g']，为什么针对同样的sentence 'a',向量化的结果不一样？
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