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README.md
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@@ -49,8 +49,11 @@ from transformers import AutoModel
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model_path = "Efficient-Large-Model/LongVILA-R1-7B"
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model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map="auto")
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# You can
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#
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use_thinking = True # Switching between thinking and non-thinking modes
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system_prompt_thinking = "You are a helpful assistant. The user asks a question, and then you solves it.\n\nPlease first think deeply about the question based on the given video, and then provide the final answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>.\n\n Question: {question}"
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model_path = "Efficient-Large-Model/LongVILA-R1-7B"
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model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map="auto")
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# You can adjust the FPS value as needed.
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# To disable FPS control, set it to 0 and manually specify the number of processed video frames via `num_video_frames`.
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# Example:
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# model.config.fps = 8.0
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# model.config.num_video_frames, model.config.fps = 512, 0
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use_thinking = True # Switching between thinking and non-thinking modes
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system_prompt_thinking = "You are a helpful assistant. The user asks a question, and then you solves it.\n\nPlease first think deeply about the question based on the given video, and then provide the final answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>.\n\n Question: {question}"
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