Notebook execution times

To help with debugging, we also provide the time to execute each of the notebooks in this repo on CPU. This should give you an idea how long each one will take to run start-to-finish!

Document	Modified	Method	Run Time (s)	Status
core/fine-tuning/fine-tuning-oxides	2024-12-19 04:01	auto	425.12	✅
core/gotchas	2024-12-19 04:01	auto	36.94	✅
core/inference	2024-12-19 04:02	auto	34.46	✅
core/lmdb_dataset_creation	2024-12-19 04:02	auto	15.29	✅
core/ocpapi	2024-12-19 04:02	auto	2.93	✅
core/quickstart	2024-12-19 04:03	auto	17.86	✅
legacy_tutorials/OCP_Tutorial	2024-12-19 04:16	auto	818.91	✅
legacy_tutorials/data_preprocessing	2024-12-19 04:17	auto	16.21	✅
legacy_tutorials/data_visualization	2024-12-19 04:17	auto	56.56	✅
tutorials/NRR/NRR_example	2024-12-19 04:30	auto	739.3	✅
tutorials/OCP-introduction	2024-12-19 04:34	auto	255.39	✅
tutorials/adsorbml_walkthrough	2024-12-19 04:42	auto	492.17	✅
tutorials/advanced/embeddings	2024-12-19 04:44	auto	113.05	✅
tutorials/advanced/fine-tuning-in-python	2024-12-19 04:48	auto	223.03	✅
tutorials/cattsunami_tutorial	2024-12-19 04:48	auto	0.81	✅
tutorials/fairchem_models_for_nebs	2024-12-19 04:48	auto	0.82	✅
tutorials/intro	2024-12-19 04:48	auto	5.56	✅