ValueError: Make sure that the embeddings are a numpy array with shape: (len(docs), vector_dim) where vector_dim is the dimensionality of the vector embeddings.

[hanxudong1122]

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topics, probs = topic_model.fit_transform(docs, embeddings=embeddings) #传入训练好的词向量
topic_model.get_topic_info()

ValueError: Make sure that the embeddings are a numpy array with shape: (len(docs), vector_dim) where vector_dim is the dimensionality of the vector embeddings.

[shiwanmenghuxiahuashan]

预嵌入的模型返回的数据不是 numpy 的，大概率你用的不是 框架给的 sentence_transform

        embedder = BGEEmbeddings()
        embeddings = embedder.embed_documents(docs)
        # 不转换调用报错  转换一下就行
        embeddings = np.array(embeddings)