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