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Kyle Birnbaum 648596c073 Added readmes to examples (#2835) 
* 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>
2025-04-03 09:18:29 +02:00
..
main.rs
Parse the json config for siglip models. (#2800)
2025-03-09 14:01:09 +01:00
README.md
Added readmes to examples (#2835)
2025-04-03 09:18:29 +02:00

README.md

SigLIP

SigLIP is multi-modal text-vision model that improves over CLIP by using a sigmoid based loss, HuggingFace.

Running an example

$ cargo run --features cuda -r --example siglip
softmax_image_vec: [2.1912122e-14, 2.3624872e-14, 1.0, 1.0, 2.4787932e-8, 3.2784535e-12]


Results for image: candle-examples/examples/stable-diffusion/assets/stable-diffusion-xl.jpg

Probability: 0.0000% Text: a cycling race 
Probability: 0.0000% Text: a photo of two cats 
Probability: 100.0000% Text: a robot holding a candle 


Results for image: candle-examples/examples/yolo-v8/assets/bike.jpg

Probability: 100.0000% Text: a cycling race 
Probability: 0.0000% Text: a photo of two cats 
Probability: 0.0000% Text: a robot holding a candle