* added chatGLM readme
* changed wording in readme
* added readme for chinese-clip
* added readme for convmixer
* added readme for custom ops
* added readme for efficientnet
* added readme for llama
* added readme to mnist-training
* added readme to musicgen
* added readme to quantized-phi
* added readme to starcoder2
* added readme to whisper-microphone
* added readme to yi
* added readme to yolo-v3
* added readme to whisper-microphone
* added space to example in glm4 readme
* fixed mamba example readme to run mamba instead of mamba-minimal
* removed slash escape character
* changed moondream image to yolo-v8 example image
* added procedure for making the reinforcement-learning example work with a virtual environment on my machine
* added simple one line summaries to the example readmes without
* changed non-existant image to yolo example's bike.jpg
* added backslash to sam command
* removed trailing - from siglip
* added SoX to silero-vad example readme
* replaced procedure for uv on mac with warning that uv isn't currently compatible with pyo3
* added example to falcon readme
* added --which arg to stella-en-v5 readme
* fixed image path in vgg readme
* fixed the image path in the vit readme
* Update README.md
* Update README.md
* Update README.md
---------
Co-authored-by: Laurent Mazare <laurent.mazare@gmail.com>
* Add more tracing to the whisper example.
* Support accelerate in more examples.
* Use accelerate for pointwise functions.
* Use accelerate for binary operations too.
* Bugfix for binary operation: use the rhs before the lhs.
* Skeleton files for musicgen.
* Add a musicgen model module.
* Sketch the model loading.
* Start adding the forward pass.
* More forward pass.
* Positional embeddings.
* Forward for the decoder layers.
* Add an empty function.
* Fix the musicgen weight names.
* More musicgen modeling.
* Add the T5 loading bits.
* Add the encodec config.
* Add the encodec module hierarchy.
* More Encodec modeling.
* Encodec modeling.
* Encodec modeling.
* Add more to the encodec modeling.
* Load the weights.
* Populate the resnet blocks.
* Also load the conv transpose weights.
* Split musicgen in multiple files.
* Sketch the Falcon model.
* Add more substance to the falcon example.
* Falcon (wip).
* Falcon (wip again).
* Falcon inference.
* Get the weights from the api and properly generate the model.
* Use the proper model.
* Fix the file/revision names.
* Fix bias handling.
* Recompute the rot embeddings.
* Fix the input shape.
* Add the release-with-debug profile.
* Silly bugfix.
* More bugfixes.
* Stricter shape checking in matmul.
