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README.md
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@@ -52,6 +52,7 @@ You can load the model and perform inference as follows:
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```python
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from transformers import FuyuProcessor, FuyuForCausalLM
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from PIL import Image
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# load model and processor
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model_id = "adept/fuyu-8b"
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# prepare inputs for the model
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text_prompt = "Generate a coco-style caption.\n"
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image = Image.open(
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inputs = processor(text=text_prompt, images=image, return_tensors="pt")
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for k, v in inputs.items():
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```python
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from transformers import FuyuProcessor, FuyuForCausalLM
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from PIL import Image
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import requests
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# load model and processor
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model_id = "adept/fuyu-8b"
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# prepare inputs for the model
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text_prompt = "Generate a coco-style caption.\n"
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url = "https://huggingface.co/adept/fuyu-8b/resolve/main/bus.png"
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image = Image.open(requests.get(url, stream=True).raw)
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inputs = processor(text=text_prompt, images=image, return_tensors="pt")
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for k, v in inputs.items():
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