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When using transformers model with Flair, an error occurred
See original GitHub issueKeyBert: K0.3.0 Flair: V0.8.0
from keybert import KeyBERT from flair.embeddings import TransformerDocumentEmbeddings doc = """ ****** """ roberta= TransformerDocumentEmbeddings('roberta-base') model = KeyBERT(model=roberta) keywords = model.extract_keywords(doc, keyphrase_ngram_range=(2, 2), stop_words='english', use_mmr=True, diversity=0.7) print(keywords)
TypeError: stat: path should be string, bytes, os.PathLike or integer, not TransformerDocumentEmbeddings
Issue Analytics
- State:
- Created 2 years ago
- Reactions:1
- Comments:6 (4 by maintainers)
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@KamyarGhajar Have you tried out the suggestion above (installing KeyBERT in a fresh environment with
pip install keybert[flair])? Also, could you share how you installing KeyBERT and which versions of packages you have in your environment?Since this issue has been a while without activity, I’ll be closing it for now. However, if you are still experiencing the issue or want to discuss it further, let me know!