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* return detections with classes names
* ignore .DS_Store
* example how to load wasm module
* add param to set model size
* add param for model size
* accept iou and confidence threshold on run
* conf and iou thresholds
* clamp only
* remove images from branch
* a couple of renamings, add readme with instructions
* final design
* minor font + border update
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* Also fix the aspect ratio in the wasm example.
* Add the yolo lib.
* Update the build script.
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* Sketch the yolo wasm example.
* Web ui.
* Get the web ui to work.
* UI tweaks.
* More UI tweaks.
* Use the natural width/height.
* Add a link to the hf space in the readme.
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* Fix the pyo3 build for macos.
* rustfmt fix.
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* Move the whisper example.
* More renaming.
* Add llama2 as a new wasm example.
* Live generation.
* More of the llama wasm example.
* Formatting.
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* Use contiguous tensors for variables.
* Sketch the mnist example.
* Start adding the reduce ops.
* Renaming.
* Refactor the reduce operations.
* Bugfix for the broadcasting vectorization.
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* Add some tracing to bert.
* More tracing.
* Add a flag for tracing.
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* Whisper example in wasm.
* Load the model.
* Get the whisper demo to work (though slowly).
* Polish the UI a bit.
* Minor tweak.
* More UI.
* Add the progress bar.
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* Wasm proof of concept.
* Run whisper inference in the browser.
* Some fixes.
* Move the wasm example.
* Change the tokenizer config.
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* Sketch the candle-transformers crate.
* Format the empty files.
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