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# Usage

```python

model = AutoModelForCausalLM.from_pretrained("ragavsachdeva/magiv3", torch_dtype=torch.float16, trust_remote_code=True).cuda().eval()

processor = AutoProcessor.from_pretrained("ragavsachdeva/magiv3", trust_remote_code=True)



model.predict_detections_and_associations(images, processor)

model.predict_ocr(images, processor)

model.predict_character_grounding(images, captions, processor)



```