Comments (2)
MaartenGr
commented on September 16, 2024
1
Ah right, there used to be an issue with the tokenizer a while back. I am not sure whether that is resolved by now with respect to the way it is used within Concept. Having said that, in the coming weeks, BERTopic will have a multi-modal release that will allow you to perform topic modeling on images in more ways than is possible within BERTopic. So it might be worthwhile to wait until that.
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sarahjames12
commented on September 16, 2024
Brilliant! Looking forward to it.
from concept.
Related Issues (19)
- Index Error: index out of bounds error for visualize concepts HOT 7
- OSError: [Errno 24] Too many open files: 'photos/icnZ2R8PcDs.jpg' HOT 3
- ValueError: operands could not be broadcast together with shapes (4,224,224) (3,) HOT 9
- Exemplar dict is not serializable HOT 3
- Pandas key error during model fitting HOT 9
- Multilingual support HOT 3
- TypeError: __init__() got an unexpected keyword argument 'cachedir' HOT 1
- How can we get probabilities for all clusters in transform function? HOT 3
- Saving the model HOT 2
- AttributeError: 'CountVectorizer' object has no attribute 'get_feature_names' HOT 5
- discussion on different concepts results HOT 2
- AttributeError: 'ConceptModel' object has no attribute 'image_cluster_df' HOT 3
- TypeError: Cannot use scipy.linalg.eigh for sparse A with k >= N. Use scipy.linalg.eigh(A.toarray()) or reduce k. HOT 1
- TypeError: Cannot use scipy.linalg.eigh for sparse A with k >= N. Use scipy.linalg.eigh(A.toarray()) or reduce k. HOT 1
- Questions HOT 4
- Question about the Function transform HOT 7
- Saving the model HOT 2
- Using GPU while processing concepts HOT 2
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