//images.cocodataset.org/val2017/000000039769.jpg"
        >>> image = Image.open(requests.get(url, stream=True).raw)

        >>> image_processor = AutoImageProcessor.from_pretrained("nvidia/segformer-b0-finetuned-ade-512-512")
        >>> model = TFSegformerForSemanticSegmentation.from_pretrained("nvidia/segformer-b0-finetuned-ade-512-512")

        >>> inputs = image_processor(images=image, return_tensors="tf")
        >>> outputs = model(**inputs, training=False)
        >>> # logits are of shape (batch_size, num_labels, height/4, width/4)
        >>> logits = outputs.logits
        >>> list(logits.shape)
        [1, 150, 128, 128]
        ```NTrå