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Implement ensure_weight_tying for trainable_token_indices (#2864)
#2870
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ENH: Implement ensure_weight_tying for trainable_token_indices (#2864)
sambhavnoobcoder
committed
62 days ago
maintinaers comments addressed
sambhavnoobcoder
committed
59 days ago
make style ran
sambhavnoobcoder
committed
59 days ago
Merge remote-tracking branch 'origin/main' into trainable-tokens-weight-tying
sambhavnoobcoder
committed
52 days ago
comments fixed
sambhavnoobcoder
committed
52 days ago
Merge main into trainable-tokens-weight-tying and resolve conflict in other.py
sambhavnoobcoder
committed
39 days ago
Use _get_module_names_tied_with_embedding helper for cleaner code
sambhavnoobcoder
committed
38 days ago
test fixes
sambhavnoobcoder
committed
30 days ago
Fix embedding name matching for nested paths and ensure weight tying in inject_adapter
sambhavnoobcoder
committed
18 days ago
Apply ruff formatting
sambhavnoobcoder
committed
18 days ago
Fix embedding name matching to use full paths and endswith for disambiguation
sambhavnoobcoder
committed
15 days ago
Add _tied_weights_keys to MegaModel test and enable ensure_weight_tying validation
sambhavnoobcoder
committed
12 days ago
Add tests for targeting both embedding and tied layers explicitly
sambhavnoobcoder
committed
12 days ago
Use mapping format for _tied_weights_keys in MegaModel test
sambhavnoobcoder
committed
11 days ago
Clarify docstrings for tied layer tests
sambhavnoobcoder
committed
11 days ago
Remove unnecessary reference to maintainer in docstring
sambhavnoobcoder
committed
10 days ago
Move BartConfig and BartModel imports to top of file
sambhavnoobcoder
committed
10 days ago
Rename MegaModel to CompositeModel throughout tests
sambhavnoobcoder
committed
10 days ago
style changes
sambhavnoobcoder
committed
9 days ago
Apply doc-builder style formatting to docstrings
sambhavnoobcoder
committed
9 days ago
Fix CI failure by setting sub-models _tied_weights_keys to None
sambhavnoobcoder
committed
7 days ago
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