Mert
87a0ba3db3
feat(ml): export clip models to ONNX and host models on Hugging Face ( #4700 )
...
* export clip models
* export to hf
refactored export code
* export mclip, general refactoring
cleanup
* updated conda deps
* do transforms with pillow and numpy, add tokenization config to export, general refactoring
* moved conda dockerfile, re-added poetry
* minor fixes
* updated link
* updated tests
* removed `requirements.txt` from workflow
* fixed mimalloc path
* removed torchvision
* cleaner np typing
* review suggestions
* update default model name
* update test
2023-10-31 05:02:04 -05:00
Mert
258b98c262
fix(ml): load models in separate threads ( #4034 )
...
* load models in thread
* set clip mode logs to debug level
* updated tests
* made fixtures slightly less ugly
* moved responses to json file
* formatting
2023-09-09 16:02:44 +07:00
Mert
165b91b068
feat(ml)!: switch image classification and CLIP models to ONNX ( #3809 )
2023-08-25 06:28:51 +02:00
Mert
c73832bd9c
refactor(ml): model downloading ( #3545 )
...
* download facial recognition models
* download hf models
* simplified logic
* updated `predict` for facial recognition
* ensure download method is called
* fixed repo_id for clip
* fixed download destination
* use st's own `snapshot_download`
* conditional download
* fixed predict method
* check if loaded
* minor fixes
* updated mypy overrides
* added pytest-mock
* updated tests
* updated lock
2023-08-05 21:45:13 -05:00
Mert
df1e8679d9
chore(ml): added testing and github workflow ( #2969 )
...
* added testing
* github action for python, made mypy happy
* formatted with black
* minor fixes and styling
* test model cache
* cache test dependencies
* narrowed model cache tests
* moved endpoint tests to their own class
* cleaned up fixtures
* formatting
* removed unused dep
2023-06-27 18:21:33 -05:00
