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Update readme to point to docs
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README.md

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TorchANI 2.0 is an open-source library that supports training, development, and research
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of ANI-style neural network interatomic potentials. It was originally developed and is
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currently maintained by the Roitberg group.
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currently maintained by the Roitberg group. For information and examples, please see the
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comprehensive [documentation](https://aiqm.github.io/torchani/).
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If you were using a previous version of TorchANI, and your code does not work with
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TorchANI 2.0 check out the [documentation](https://aiqm.github.io/torchani-docs/), there
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are very few breaking changes, and most code should work with minimal modifications. If
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If you were using a previous version of TorchANI and your code does not work with
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TorchANI 2.0 check out the [migration guide](https://aiqm.github.io/torchani/migrating-to-2.html#torchani-migrating), there
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are very few breaking changes, most code should work with minimal modifications. If
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you can't figure something out please open a GitHub issue, we are here to help!
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If you find a bug of TorchANI, or have some feature request, feel free to open an issue
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on GitHub.
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If you find a bug of TorchANI, or have some feature request, also feel free to open a GitHub issue.
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TorchANI 2.0 is currently tested against PyTorch 2.5 and CUDA 12.4
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