Update README.md with new model card content

README.md

@@ -9,8 +9,8 @@ Weights are released under the [MIT License](https://opensource.org/license/mit)
 
 ## Links
 
-* [Segmentation Quickstart Notebook](coming soon)
-* [SegFormer API Documentation](coming soon)
+* [SegFormer Quickstart Notebook](https://www.kaggle.com/code/laxmareddypatlolla/segformer-quickstart-notebook)
+* [SegFormer API Documentation](https://keras.io/keras_hub/api/models/segformer/)
 * [SegFormer Model Card](https://huggingface.co/docs/transformers/en/model_doc/segformer)
 * [KerasHub Beginner Guide](https://keras.io/guides/keras_hub/getting_started/)
 * [KerasHub Model Publishing Guide](https://keras.io/guides/keras_hub/upload/)
@@ -31,13 +31,18 @@ Jax, TensorFlow, and Torch come preinstalled in Kaggle Notebooks. For instructio
 The following model checkpoints are provided by the Keras team. Full code examples for each are available below.
 | Preset name           | Parameters | Description                                       |
 |-----------------------|------------|---------------------------------------------------|
-| segformer_b0_imagenet | 3.72M      | SegFormer model with a pretrained MiTB0 backbone. |
-| segformer_b0          | 3.72M      | SegFormer model with MiTB0 backbone.              |
-| segformer_b1          | 13.68M     | SegFormer model with MiTB1 backbone.              |
-| segformer_b2          | 24.73M     | SegFormer model with MiTB2 backbone.              |
-| segformer_b3          | 44.60M     | SegFormer model with MiTB3 backbone.              |
-| segformer_b4          | 61.37M     | SegFormer model with MiTB4 backbone.              |
-| segformer_b5          | 81.97M     | SegFormer model with MiTB5 backbone.              |
+| segformer_b0_ade20k_512 | 3.72M      | SegFormer model with MiTB0 backbone fine-tuned on ADE20k in 512x512 resolution. |
+| segformer_b1_ade20k_512          | 13.68M     | SegFormer model with MiTB0 backbone fine-tuned on ADE20k in 512x512 resolution. |
+| segformer_b2_ade20k_512        | 24.73M    | SegFormer model with MiTB2 backbone fine-tuned on ADE20k in 512x512 resolution.             |
+| segformer_b3_ade20k_512        | 44.60M     | SegFormer model with MiTB2 backbone fine-tuned on ADE20k in 512x512 resolution.             |
+| segformer_b4_ade20k_512       | 61.37M     |SegFormer model with MiTB2 backbone fine-tuned on ADE20k in 512x512 resolution.               |
+| segformer_b5_ade20k_640    | 81.97M       | SegFormer model with MiTB5 backbone fine-tuned on ADE20k in 640x640 resolution.             |
+| segformer_b0_cityscapes_1024     | 3.72M       | SegFormer model with MiTB0 backbone fine-tuned on Cityscapes in 1024x1024 resolution.              |
+| segformer_b1_cityscapes_1024     | 13.68M       | SegFormer model with MiTB0 backbone fine-tuned on Cityscapes in 1024x1024 resolution.               |
+| segformer_b2_cityscapes_1024     | 24.73M        | SegFormer model with MiTB0 backbone fine-tuned on Cityscapes in 1024x1024 resolution.              |
+| segformer_b3_cityscapes_1024     | 44.60M        | SegFormer model with MiTB0 backbone fine-tuned on Cityscapes in 1024x1024 resolution.              |
+| segformer_b4_cityscapes_1024     | 61.37M          | SegFormer model with MiTB0 backbone fine-tuned on Cityscapes in 1024x1024 resolution.              |
+| segformer_b5_cityscapes_1024     | 81.97M        | SegFormer model with MiTB0 backbone fine-tuned on Cityscapes in 1024x1024 resolution.              |
 
 ## Example Usage
 ```python