Use the hub files for the marian example. (#1220)

* Use the hub files for the marian example.

* Use the secondary decoder.

* Add a readme.

* More readme.
This commit is contained in:
Laurent Mazare
2023-10-30 18:29:36 +01:00
committed by GitHub
parent c05c0a8213
commit 4c967b9184
4 changed files with 93 additions and 27 deletions

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@ -103,6 +103,8 @@ We also provide a some command line based examples using state of the art models
evaluation, segmentation).
- [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
model, generates the translated text from the input text.
Run them using commands like:
```
@ -174,6 +176,8 @@ If you have an addition to this list, please submit a pull request.
- Wurstchen v2.
- Image to text.
- BLIP.
- Text to text.
- Marian MT (Machine Translation).
- Computer Vision Models.
- DINOv2, ConvMixer, EfficientNet, ResNet, ViT.
- yolo-v3, yolo-v8.