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README.md
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@@ -19,6 +19,8 @@ It achieves the following results on the evaluation set:
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- Loss: 0.2107
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### Inference Code versions
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from transformers import AutoProcessor, AutoModelForCausalLM
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import matplotlib.pyplot as plt
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import matplotlib.patches as patches
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processor = AutoProcessor.from_pretrained("Musa07/Florence-2-large-FormClassification-ft", trust_remote_code=True)
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def run_example(task_prompt, image, max_new_tokens=128):
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prompt = task_prompt
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inputs = processor(text=prompt, images=image, return_tensors="pt")
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generated_ids = model.generate(
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- Loss: 0.2107
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### Inference Code versions
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# Code
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from transformers import AutoProcessor, AutoModelForCausalLM
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import matplotlib.pyplot as plt
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import matplotlib.patches as patches
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processor = AutoProcessor.from_pretrained("Musa07/Florence-2-large-FormClassification-ft", trust_remote_code=True)
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def run_example(task_prompt, image, max_new_tokens=128):
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prompt = task_prompt
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inputs = processor(text=prompt, images=image, return_tensors="pt")
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generated_ids = model.generate(
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