Comments (2)
Good suggestion! I am currently working on something similar for BERTopic that allows you to use a Base class to construct your own embedding model which should allow you to use USE, FastText, etc. When I am finished with that, I can start implementing it in KeyBERT.
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@ssubraveti
KeyBERT v0.3 was just released and adds the options to use many different backends but also the usage of candidates generated by other extractors. Follow the documentation here for all changes or follow along with the google colab example:
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Related Issues (20)
- Not able to use gensim HOT 5
- Why and how the same model for doc_embeddings and word_embeddings? HOT 1
- Setup check. Script to get keywords for comparing against SimpleMaths, TextRank and Philology results HOT 5
- Add more LLMs HOT 1
- OSError: libcudart.so.12: cannot open shared object file: No such file or directory HOT 2
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- KeyLLM Error: AttributeError: 'CompletionChoice' object has no attribute 'message' HOT 6
- CLI tool like YAKE
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- OpenAi api HOT 4
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- Getting TypeError: OpenAI.__init__() missing 1 required positional argument: 'client' because older version of openai being used #242 HOT 1
- Matching with Synonyms using KeyLLM OR KeyBERT HOT 5
- Newer versions of Spacy transformer model backends failing HOT 4
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