Update README.md with TorchTune reference #2873
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/2873
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| tune run lora_finetune_single_device \ | ||
| --config llama2/7B_lora_single_device \ | ||
| checkpointer.checkpoint_dir=<path_to_checkpoint_folder> \ | ||
| tokenizer.path=<path_to_checkpoint_folder>/tokenizer.model |
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nit: Should wrap this in a code block (sorry suggestions doesnt allow me to do that)
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Summary: We'd estimate communities like to try ExecuTorch with their own tuned models. Add a reference to TorchTune so that users can use all PyTorch native support in the entire flow. Reviewed By: mergennachin, cccclai Differential Revision: D55807346 Pulled By: iseeyuan
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Summary: We'd estimate communities like to try ExecuTorch with their own tuned models. Add a reference to TorchTune so that users can use all PyTorch native support in the entire flow. Reviewed By: mergennachin, cccclai Differential Revision: D55807346 Pulled By: iseeyuan
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We'd estimate communities like to try ExecuTorch with their own tuned models. Add a reference to TorchTune so that users can use all PyTorch native support in the entire flow.