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Fix typos in contrastive-image-text example README (#21665)

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regisss
2023-02-16 15:10:25 +01:00
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examples/pytorch/contrastive-image-text/README.md
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@@ -50,9 +50,9 @@ COCO_DIR = os.path.join(os.getcwd(), "data")
ds = datasets.load_dataset("ydshieh/coco_dataset_script", "2017", data_dir=COCO_DIR) ds = datasets.load_dataset("ydshieh/coco_dataset_script", "2017", data_dir=COCO_DIR)
``` ```
### Create a model from a vision encoder model and a text decoder model ### Create a model from a vision encoder model and a text encoder model
Next, we create a [VisionTextDualEncoderModel](https://huggingface.co/docs/transformers/model_doc/vision-text-dual-encoder#visiontextdualencoder). Next, we create a [VisionTextDualEncoderModel](https://huggingface.co/docs/transformers/model_doc/vision-text-dual-encoder#visiontextdualencoder).
The `VisionTextDualEncoderModel` class let's you load any vision and text encoder model to create a dual encoder. The `VisionTextDualEncoderModel` class lets you load any vision and text encoder model to create a dual encoder.
Here is an example of how to load the model using pre-trained vision and text models. Here is an example of how to load the model using pre-trained vision and text models.
```python3 ```python3