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	2025-03-27 03:14	auto	393.05	✅
core/gotchas	2025-03-27 03:15	auto	36.65	✅
core/inference	2025-03-27 03:15	auto	44.83	✅
core/inorganic_materials	2025-03-27 03:16	auto	32.03	✅
core/lmdb_dataset_creation	2025-03-27 03:16	auto	14.47	✅
core/ocpapi	2025-03-27 03:16	auto	2.88	✅
core/quickstart	2025-03-27 03:16	auto	17.27	✅
legacy_tutorials/OCP_Tutorial	2025-03-27 03:30	auto	783.39	✅
legacy_tutorials/data_preprocessing	2025-03-27 03:30	auto	13.97	✅
legacy_tutorials/data_visualization	2025-03-27 03:31	auto	53.66	✅
tutorials/NRR/NRR_example	2025-03-27 03:43	auto	726.3	✅
tutorials/OCP-introduction	2025-03-27 03:47	auto	248.93	✅
tutorials/adsorbml_walkthrough	2025-03-27 03:54	auto	433.21	✅
tutorials/advanced/embeddings	2025-03-27 03:56	auto	106.07	✅
tutorials/advanced/fine-tuning-in-python	2025-03-27 03:59	auto	207.93	✅
tutorials/cattsunami_tutorial	2025-03-27 03:59	auto	0.82	✅
tutorials/fairchem_models_for_nebs	2025-03-27 03:59	auto	0.83	✅
tutorials/intro	2025-03-27 04:00	auto	5.34	✅