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README.md
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---
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license: apache-2.0
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tags:
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- semantic-segmentation
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- vision
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datasets:
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-
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---
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# BEiT (base-sized model, fine-tuned on ADE20k)
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ds = load_dataset("hf-internal-testing/fixtures_ade20k", split="test")
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feature_extractor = BeitFeatureExtractor.from_pretrained('microsoft/beit-base-finetuned-ade-640-640')
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model =
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inputs = feature_extractor(images=image, return_tensors="pt")
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outputs = model(**inputs)
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---
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license: apache-2.0
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tags:
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- vision
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- image-segmentation
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datasets:
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- scene_parse_150
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widget:
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- src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000001.jpg
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example_title: House
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- src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000002.jpg
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example_title: Castle
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---
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# BEiT (base-sized model, fine-tuned on ADE20k)
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ds = load_dataset("hf-internal-testing/fixtures_ade20k", split="test")
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feature_extractor = BeitFeatureExtractor.from_pretrained('microsoft/beit-base-finetuned-ade-640-640')
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model = BeitForSemanticSegmentation.from_pretrained('microsoft/beit-base-finetuned-ade-640-640')
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inputs = feature_extractor(images=image, return_tensors="pt")
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outputs = model(**inputs)
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