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Mention TrOCR in the readmes. (#1691)

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Laurent Mazare
2024-02-10 15:49:38 +01:00
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README.md
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@ -112,9 +112,10 @@ We also provide a some command line based examples using state of the art models
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.
- [TrOCR](./candle-examples/examples/trocr/): a transformer OCR model, with
dedicated submodels for hand-writing and printed recognition.
- [Marian-MT](./candle-examples/examples/marian-mt/): neural machine translation
model, generates the translated text from the input text.
@ -207,6 +208,7 @@ If you have an addition to this list, please submit a pull request.
- Wurstchen v2.
- Image to text.
- BLIP.
- TrOCR.
- Computer Vision Models.
- DINOv2, ConvMixer, EfficientNet, ResNet, ViT, VGG, RepVGG, ConvNeXT.
- yolo-v3, yolo-v8.