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				@ -82,9 +82,11 @@ For promptable segmentation and tracking in videos, we provide a video predictor
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```python
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					```python
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import torch
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					import torch
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from sam2.sam2_video_predictor import SAM2VideoPredictor
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					from sam2.build_sam import build_sam2_video_predictor
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predictor = SAM2VideoPredictor.from_pretrained("facebook/sam2-hiera-large")
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					checkpoint = "./checkpoints/sam2_hiera_large.pt"
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					model_cfg = "sam2_hiera_l.yaml"
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					predictor = build_sam2_video_predictor(model_cfg, checkpoint)
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with torch.inference_mode(), torch.autocast("cuda", dtype=torch.bfloat16):
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					with torch.inference_mode(), torch.autocast("cuda", dtype=torch.bfloat16):
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    state = predictor.init_state(<your_video>)
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					    state = predictor.init_state(<your_video>)
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