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Add SegFormer and ViLT links (#18808)

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Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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2022-08-29 18:46:07 +02:00
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@@ -87,12 +87,16 @@ Here are a few examples:
In Computer Vision: In Computer Vision:
- [Image classification with ViT](https://huggingface.co/google/vit-base-patch16-224) - [Image classification with ViT](https://huggingface.co/google/vit-base-patch16-224)
- [Object Detection with DETR](https://huggingface.co/facebook/detr-resnet-50) - [Object Detection with DETR](https://huggingface.co/facebook/detr-resnet-50)
- [Image Segmentation with DETR](https://huggingface.co/facebook/detr-resnet-50-panoptic) - [Semantic Segmentation with SegFormer](https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512)
- [Panoptic Segmentation with DETR](https://huggingface.co/facebook/detr-resnet-50-panoptic)
In Audio: In Audio:
- [Automatic Speech Recognition with Wav2Vec2](https://huggingface.co/facebook/wav2vec2-base-960h) - [Automatic Speech Recognition with Wav2Vec2](https://huggingface.co/facebook/wav2vec2-base-960h)
- [Keyword Spotting with Wav2Vec2](https://huggingface.co/superb/wav2vec2-base-superb-ks) - [Keyword Spotting with Wav2Vec2](https://huggingface.co/superb/wav2vec2-base-superb-ks)
In Multimodal tasks:
- [Visual Question Answering with ViLT](https://huggingface.co/dandelin/vilt-b32-finetuned-vqa)
**[Write With Transformer](https://transformer.huggingface.co)**, built by the Hugging Face team, is the official demo of this repo’s text generation capabilities. **[Write With Transformer](https://transformer.huggingface.co)**, built by the Hugging Face team, is the official demo of this repo’s text generation capabilities.
## If you are looking for custom support from the Hugging Face team ## If you are looking for custom support from the Hugging Face team