Skip to content

Update _spacy.py, Working with the new ._.trf_data object (3.7+) #2352

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
2513502304 wants to merge 5 commits into
base: master
Choose a base branch
from
Open

Update _spacy.py, Working with the new ._.trf_data object (3.7+) #2352

Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
95f7fd8
Update _spacy.py, Working with the new ._.trf_data object (3.7+)
2513502304 May 5, 2025
79eb23a
Update _spacy.py
2513502304 May 5, 2025
bab6a2e
Update _spacy.py
2513502304 May 5, 2025
bfdd619
Update _spacy.py
2513502304 May 5, 2025
37ae01e
Update _spacy.py
2513502304 May 12, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
9 changes: 8 additions & 1 deletion bertopic/backend/_spacy.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -84,7 +84,14 @@ def embed(self, documents: List[str], verbose: bool = False) -> np.ndarray:
if embedding.has_vector:
embedding = embedding.vector
else:
embedding = embedding._.trf_data.tensors[-1][0]
# Transformer pipeline design: https://spacy.io/models#design-trf
try:
# For spaCy v3.0-v3.6, trf pipelines use spacy-transformers and the transformer output in doc._.trf_data is a TransformerData object.
embedding = embedding._.trf_data.tensors[-1][0]
except AttributeError:
# For spaCy v3.7+, trf pipelines use spacy-curated-transformers and doc._.trf_data is a DocTransformerOutput object.
# embedding = embedding._.trf_data.all_outputs[-1].data.mean(axis=0)
embedding = embedding._.trf_data.last_hidden_layer_state.data.mean(axis=0)

if not isinstance(embedding, np.ndarray) and hasattr(embedding, "get"):
# Convert cupy array to numpy array
Expand Down
Loading