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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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4
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). evaluation, segmentation).
- [VGG](./candle-examples/examples/vgg/), - [VGG](./candle-examples/examples/vgg/),
[RepVGG](./candle-examples/examples/repvgg): computer vision models. [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 - [BLIP](./candle-examples/examples/blip/): image to text model, can be used to
generate captions for an image. 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 - [Marian-MT](./candle-examples/examples/marian-mt/): neural machine translation
model, generates the translated text from the input text. 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. - Wurstchen v2.
- Image to text. - Image to text.
- BLIP. - BLIP.
- TrOCR.
- Computer Vision Models. - Computer Vision Models.
- DINOv2, ConvMixer, EfficientNet, ResNet, ViT, VGG, RepVGG, ConvNeXT. - DINOv2, ConvMixer, EfficientNet, ResNet, ViT, VGG, RepVGG, ConvNeXT.
- yolo-v3, yolo-v8. - yolo-v3, yolo-v8.

8
candle-examples/examples/trocr/readme.md
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@ -5,10 +5,16 @@ transcribe image text. See the associated [model
card](https://huggingface.co/microsoft/trocr-base-printed) for details on card](https://huggingface.co/microsoft/trocr-base-printed) for details on
the model itself. the model itself.
Supported models include:
- `--which base`: small handwritten OCR model.
- `--which large`: large handwritten OCR model.
- `--which base-printed`: small printed OCR model.
- `--which large-printed`: large printed OCR model.
## Running an example ## Running an example
```bash ```bash
cargo run --example trocr --release -- --which base --cpu --image candle-examples/examples/trocr/assets/trocr.png cargo run --example trocr --release -- --image candle-examples/examples/trocr/assets/trocr.png
``` ```
``` ```