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261ed65f36
* Add the SigLIP model. * Add more to the forward pass of the vision model. * Complete the forward pass. * Add the siglip example. * Fix. * Another fix. * Get everything in place. * Add a readme.
candle-clip
Contrastive Language-Image Pre-Training (CLIP) is an architecture trained on pairs of images with related texts.
https://github.com/openai/CLIP
f6fa0f0bf0/src/transformers/models/clip
Running on an example on cpu
$ cargo run --example clip --release -- --images "candle-examples/examples/stable-diffusion/assets/stable-diffusion-xl.jpg","candle-examples/examples/yolo-v8/assets/bike.jpg" --cpu --sequences "a cycling race","a photo of two cats","a robot holding a candle"
Results for image: candle-examples/examples/stable-diffusion/assets/stable-diffusion-xl.jpg
INFO clip: Probability: 0.0000% Text: a cycling race
INFO clip: Probability: 0.0000% Text: a photo of two cats
INFO clip: Probability: 100.0000% Text: a robot holding a candle
Results for image: candle-examples/examples/yolo-v8/assets/bike.jpg
INFO clip: Probability: 99.9999% Text: a cycling race
INFO clip: Probability: 0.0001% Text: a photo of two cats
INFO clip: Probability: 0.0000% Text: a robot holding a candle
Running on an example with metal feature (mac)
$ cargo run --features metal --example clip --release -- --images "candle-examples/examples/stable-diffusion/assets/stable-diffusion-xl.jpg","candle-examples/examples/yolo-v8/assets/bike.jpg" --cpu --sequences "a cycling race","a photo of two cats","a robot holding a candle"
Results for image: candle-examples/examples/stable-diffusion/assets/stable-diffusion-xl.jpg
INFO clip: Probability: 0.0000% Text: a cycling race
INFO clip: Probability: 0.0000% Text: a photo of two cats
INFO clip: Probability: 100.0000% Text: a robot holding a candle
Results for image: candle-examples/examples/yolo-v8/assets/bike.jpg
INFO clip: Probability: 99.9999% Text: a cycling race
INFO clip: Probability: 0.0001% Text: a photo of two cats
INFO clip: Probability: 0.0000% Text: a robot holding a candle