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Fake pr #3616

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Fake pr #3616

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e8c376c
add test docs
helpmefindaname Feb 14, 2025
7623533
fix test docs
helpmefindaname Feb 14, 2025
72253a8
change docs of span classifier
helpmefindaname Feb 14, 2025
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13 changes: 12 additions & 1 deletion .github/workflows/test-docs.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,18 @@ jobs:
cp assets/README.md doc_build/README.md
sed -i "s/\[VERSION\]/${{ env.BRANCH_NAME }}/g" doc_build/index.html
sed -i "s/\[VERSION\]/${{ env.BRANCH_NAME }}/g" doc_build/404.html
- name: Archive code coverage results
- name: Publish dev website
uses: datalbry/copy_folder_to_another_repo_action@1.0.0
env:
API_TOKEN_GITHUB: ${{ secrets.FLAIR_DEV_DOCS_TOKEN }}
with:
source_folder: 'doc_build'
destination_repo: 'flairNLP/flair-dev-docs'
destination_folder: '${{ env.BRANCH_NAME }}'
user_email: 'no-reply@github.com'
user_name: 'flair-automation'
commit_msg: 'Add docs for ${{ github.ref_name }}'
- name: Archive website results
uses: actions/upload-artifact@v4
with:
name: website
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4 changes: 2 additions & 2 deletions flair/models/entity_linker_model.py
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Expand Up @@ -80,9 +80,9 @@ def get_candidates(self, mention: str) -> set[str]:


class SpanClassifier(flair.nn.DefaultClassifier[Sentence, Span]):
"""Entity Linking Model.
"""Span Classification Model.

The model expects text/sentences with annotated entity mentions and predicts entities to these mentions.
The model expects text/sentences with annotated entity mentions and classifies these mentions.
To this end a word embedding is used to embed the sentences and the embedding of the entity mention goes through a linear layer to get the actual class label.
The model is able to predict '<unk>' for entity mentions that the model can not confidently match to any of the known labels.
"""
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