(feat): Add small model lid.176.ftz to library resources, for offline use
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- Refactor `get_model_loaded` to `load_model` with enhanced error handling - Rename constants for better clarity and consistency - Simplify language detection functions and improve docstrings - Use `Optional` typing and rename parameters for clarity
sudoskys
changed the title
lid.176.ftz to library resources lid.176.ftz to library resources, for offline use
Refactor model loading to use an enum and cache class. Improve error handling and logging. Add functionality to fallback to a local small model if download fails.
add `USE_STRICT_MODE` setting to enable/disable strict mode in detection updated README.md to reflect the new setting removed redundant `USE_STRICT_MODE` declaration in `infer.py`
- Updated README with new `use_strict_mode` parameter examples - Removed unused imports and settings in `infer.py` - Implemented `use_strict_mode` in model loading functions - Added `NOTICE.MD` with license information
- Adjusted parameter alignment in `load_model` definition - Refactored `load_large_model` logic for clarity - Enhanced fallback logic for strict and non-strict modes
- Adjusted parameter alignment in `load_model` definition - Refactored `load_large_model` logic for clarity - Enhanced fallback logic for strict and non-strict modes
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Sorry, forgot to provide the manual gc function for model_cache. The next update will be from the dev branch. |
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