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minor readme typo correction

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Rajat Sen
2024-09-12 23:36:25 +00:00
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@@ -17,7 +17,7 @@ This is not an officially supported Google product.
We recommend at least 16GB RAM to load TimesFM dependencies. We recommend at least 16GB RAM to load TimesFM dependencies.
## Update - Sep. 12, 2024 ## Update - Sep. 12, 2024
- We have released full pytorch support (excludoing PEFT parts). - We have released full pytorch support (excluding PEFT parts).
- Shoutout to @tanmayshishodia for checking in PEFT methods like LoRA and DoRA. - Shoutout to @tanmayshishodia for checking in PEFT methods like LoRA and DoRA.
- To install TimesFM, you can now simply do: `pip install timesfm`. - To install TimesFM, you can now simply do: `pip install timesfm`.
- Launched [finetuning support](https://github.com/google-research/timesfm/blob/master/notebooks/finetuning.ipynb) that lets you finetune the weights of the pretrained TimesFM model on your own data. - Launched [finetuning support](https://github.com/google-research/timesfm/blob/master/notebooks/finetuning.ipynb) that lets you finetune the weights of the pretrained TimesFM model on your own data.