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| author | Laurent Mazare <laurent.mazare@gmail.com> | 2023-10-22 09:44:48 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-10-22 09:44:48 +0100 |
| commit | df2f89b6cf897305a566cb08446dd4522d42919a (patch) | |
| tree | 97b45b414a9fc1bfe83e42fc2014686de8fcde43 /README.md | |
| parent | 62fc9656173029dbb3a14dc1938a819501242809 (diff) | |
| download | candle-df2f89b6cf897305a566cb08446dd4522d42919a.tar.gz candle-df2f89b6cf897305a566cb08446dd4522d42919a.tar.bz2 candle-df2f89b6cf897305a566cb08446dd4522d42919a.zip | |
Add some KV cache to blip. (#1150)
* Add some KV cache to blip.
* Mention BLIP in the readme.
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 9 |
1 files changed, 7 insertions, 2 deletions
@@ -99,6 +99,8 @@ 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). +- [BLIP](./candle-examples/examples/blip/): image to text model, can be used to + generate captions for an image. Run them using commands like: ``` @@ -163,8 +165,11 @@ If you have an addition to this list, please submit a pull request. - T5. - Bert. - Whisper (multi-lingual support). - - Stable Diffusion v1.5, v2.1, XL v1.0. - - Wurstchen v2. + - Text to image. + - Stable Diffusion v1.5, v2.1, XL v1.0. + - Wurstchen v2. + - Image to text. + - BLIP. - Computer Vision Models. - DINOv2, ConvMixer, EfficientNet, ResNet, ViT. - yolo-v3, yolo-v8. |