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	2024-11-19 06:21	auto	418.06	✅
core/gotchas	2024-11-19 06:21	auto	35.82	✅
core/inference	2024-11-19 06:22	auto	38.86	✅
core/lmdb_dataset_creation	2024-11-19 06:22	auto	15.57	✅
core/ocpapi	2024-11-19 06:22	auto	2.77	✅
core/quickstart	2024-11-19 06:23	auto	17.24	✅
legacy_tutorials/OCP_Tutorial	2024-11-19 06:36	auto	801.95	✅
legacy_tutorials/data_preprocessing	2024-11-19 06:36	auto	18.14	✅
legacy_tutorials/data_visualization	2024-11-19 06:37	auto	50.02	✅
tutorials/NRR/NRR_example	2024-11-19 06:49	auto	730.29	✅
tutorials/OCP-introduction	2024-11-19 06:54	auto	253.39	✅
tutorials/adsorbml_walkthrough	2024-11-19 07:02	auto	517.68	✅
tutorials/advanced/embeddings	2024-11-19 07:04	auto	113.02	✅
tutorials/advanced/fine-tuning-in-python	2024-11-19 07:08	auto	221.77	✅
tutorials/cattsunami_tutorial	2024-11-19 07:08	auto	0.78	✅
tutorials/fairchem_models_for_nebs	2024-11-19 07:08	auto	0.98	✅
tutorials/intro	2024-11-19 07:08	auto	5.27	✅