* 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 support to UL2 model family
* Update docs with UL2
* Create ActivationWithOptionalGating to avoid polluting activations
* Also refactor quantized t5
* Remove useless conversion
* Revert Activation::NewGelu name change
* Remove useless return
* Apply rustfmt and clippy recommendations
* Reuse t5::ActivationWithOptionalGating in quantized version
* (cosmetic change) use a match rather than ifs + avoid early returns.
---------
Co-authored-by: Laurent <laurent.mazare@gmail.com>
* Add some reinforcement learning example.
* Python initialization.
* Get the example to run.
* Vectorized gym envs for the atari wrappers.
* Get some simulation loop to run.
* Load t5 decoder
* Run enc, dec, and lm head, but no cross attn
* Cross-attention over key_value_states
* New arg for decoder input ids
* Add mask, don't forward position biases through decoder
* Update t5 examples
* Clippy + rustfmt