Mention TrOCR in the readmes. (#1691)

README.md

@@ -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.

candle-examples/examples/trocr/readme.md

@@ -5,10 +5,16 @@ transcribe image text. See the associated [model
 card](https://huggingface.co/microsoft/trocr-base-printed) for details on
 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
 
 ```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
 ```
 
 ```