Comments (1)
Which version of BERTopic are you using? Was it the same as when you saved the model?
Also, could you provide the full error message. It's not clear to me what the error is referencing.
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Related Issues (20)
- Zero-Shot Topic Modelling and Topics Over Time HOT 1
- Loading of saved model returns Error: "This BERTopic instance is not fitted yet. Call 'fit' with appropriate arguments before using this estimator."
- Creating representations using IBM Watsonx LLMs HOT 5
- c_tf_idf_ is None when using zero shot topic modeling. HOT 1
- Issue with Scikit-learn 1.5.0
- Error at Combining clustered topics with the zeroshot model HOT 2
- Compare LDA, NMF, LSA with BERTopic (w/ embedding: all-MiniLM-L6-v2 + dim_red: UMAP + cluster: HDBSCAN) HOT 1
- AttributeError: 'BertModel' object has no attribute 'attn_implementation' #30965 HOT 3
- Zeroshot Topic Modeling With no Embedding Model HOT 1
- Extending ".visulize_document_datamap" with "label_over_points"-flag
- Zero shot topic model with pre embedded zero shot topics HOT 1
- Why outliers are shown in visualize_documents after outlier reduction? HOT 1
- Guided topic model with pre embedded `seed_topic_list` HOT 1
- probabilities_ outcome not consistent with get_document_info output HOT 3
- `transform` method not handling single embeddings or strings given to it. HOT 1
- results of `transform` is differnet from merged topic model `get_topic_info()` output HOT 1
- c_tf_idf_.indptr is None when attempting to save merged model HOT 2
- Consider adding a linter HOT 1
- I'm trying to use zeroshot topic model,but i encounter an error,Can anyone please help me?TypeError: BERTopic.__init__() got an unexpected keyword argument 'zeroshot_topic_list' HOT 1
- Identical topics: some become outliers, some are assigned to their topic
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