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README.md
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## Usage
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* TODO: Add usage examples
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## Usage
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Load the model and prepare it for inference. We use [FlexAttention for inference](https://pytorch.org/blog/flexattention-for-inference/), so calling `.compile()` is critical for fast decoding. Our `compile` implementation also handles warmup, so you can start making requests directly once it returns.
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```
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moondream = AutoModelForCausalLM.from_pretrained(
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"moondream/moondream3-preview",
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trust_remote_code=True,
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dtype=torch.bfloat16,
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device_map={"": "cuda"},
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)
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moondream.compile()
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```
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* TODO: Add usage examples
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