Add an initial Segformer implementation

candle-examples/examples/segformer/README.md

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+# candle-segformer
+
+- [HuggingFace Segformer Model Card][segformer]
+- [`mit-b0` - An encoder only pretrained model][encoder]
+- [`segformer-b0-finetuned-ade-512-512` - A fine tuned model for segmentation][ade512]
+
+## How to run the example
+
+If you want you can use the example images from this [pull request][pr], download them and supply the path to the image as an argument to the example.
+
+```bash
+# run the image classification task
+cargo run --example segformer classify <path-to-image>
+# run the segmentation task
+cargo run --example segformer segment <path-to-image>
+```
+
+Example output for classification:
+
+```text
+classification logits [3.275261e-5, 0.0008562019, 0.0008868563, 0.9977506, 0.0002465068, 0.0002241473, 2.846596e-6]
+label: hamburger
+```
+
+[pr]: https://github.com/huggingface/candle/pull/1617
+[segformer]: https://huggingface.co/docs/transformers/model_doc/segformer
+[encoder]: https://huggingface.co/nvidia/mit-b0
+[ade512]: https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512