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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -52,7 +52,7 @@ ExecuTorch uses **ahead-of-time (AOT) compilation** to prepare PyTorch models fo
2. **⚙️ Compile** — Quantize, optimize, and partition to hardware backends → `.pte`
3. **🚀 Execute** — Load `.pte` on-device via lightweight C++ runtime

Models use a standardized [Core ATen operator set](https://docs.pytorch.org/executorch/main/concepts.html#core-aten-operators). [Partitioners](https://docs.pytorch.org/executorch/main/compiler-delegate-and-partitioner.html) delegate subgraphs to specialized hardware (NPU/GPU) with CPU fallback.
Models use a standardized [Core ATen operator set](https://docs.pytorch.org/executorch/main/compiler-ir-advanced.html#intermediate-representation). [Partitioners](https://docs.pytorch.org/executorch/main/compiler-delegate-and-partitioner.html) delegate subgraphs to specialized hardware (NPU/GPU) with CPU fallback.

Learn more: [How ExecuTorch Works](https://docs.pytorch.org/executorch/main/intro-how-it-works.html) • [Architecture Guide](https://docs.pytorch.org/executorch/main/getting-started-architecture.html)

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