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| author | Laurent Mazare <laurent.mazare@gmail.com> | 2024-01-12 09:59:29 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-01-12 09:59:29 +0100 |
| commit | 8e06bfb4fd33f1229a03abee20cc1c07198408b5 (patch) | |
| tree | 89ea4cf4264e71f3247ab85451460e7a99efc7ac /README.md | |
| parent | 6242276c0970db6e5805feed4c2ef3b0bf2ba413 (diff) | |
| download | candle-8e06bfb4fd33f1229a03abee20cc1c07198408b5.tar.gz candle-8e06bfb4fd33f1229a03abee20cc1c07198408b5.tar.bz2 candle-8e06bfb4fd33f1229a03abee20cc1c07198408b5.zip | |
Mention VGG in the readme. (#1573)
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 5 |
1 files changed, 4 insertions, 1 deletions
@@ -109,6 +109,9 @@ We also provide a some command line based examples using state of the art models - [DINOv2](./candle-examples/examples/dinov2/): computer vision model trained using self-supervision (can be used for imagenet classification, depth evaluation, segmentation). +- [VGG](./candle-examples/examples/vgg/), + [RepVGG](./candle-examples/examples/repvgg): computer vision models. +- [BLIP](./candle-examples/examples/blip/): image to text model, can be used to - [BLIP](./candle-examples/examples/blip/): image to text model, can be used to generate captions for an image. - [Marian-MT](./candle-examples/examples/marian-mt/): neural machine translation @@ -204,7 +207,7 @@ If you have an addition to this list, please submit a pull request. - Image to text. - BLIP. - Computer Vision Models. - - DINOv2, ConvMixer, EfficientNet, ResNet, ViT. + - DINOv2, ConvMixer, EfficientNet, ResNet, ViT, VGG, RepVGG. - yolo-v3, yolo-v8. - Segment-Anything Model (SAM). - File formats: load models from safetensors, npz, ggml, or PyTorch files. |