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	2024-09-18 21:18	auto	421.9	✅
core/gotchas	2024-09-18 21:18	auto	34.66	✅
core/inference	2024-09-18 21:19	auto	35.98	✅
core/lmdb_dataset_creation	2024-09-18 21:19	auto	13.53	✅
core/ocpapi	2024-09-18 21:19	auto	4.18	✅
core/quickstart	2024-09-18 21:20	auto	16.49	✅
legacy_tutorials/OCP_Tutorial	2024-09-18 21:33	auto	790.91	✅
legacy_tutorials/data_preprocessing	2024-09-18 21:33	auto	12.59	✅
legacy_tutorials/data_visualization	2024-09-18 21:34	auto	44.97	✅
tutorials/NRR/NRR_example	2024-09-18 21:46	auto	737.3	✅
tutorials/OCP-introduction	2024-09-18 21:50	auto	250.63	✅
tutorials/adsorbml_walkthrough	2024-09-18 21:58	auto	442.46	✅
tutorials/advanced/embeddings	2024-09-18 21:59	auto	108.66	✅
tutorials/advanced/fine-tuning-in-python	2024-09-18 22:03	auto	220.74	✅
tutorials/cattsunami_tutorial	2024-09-18 22:03	auto	0.96	✅
tutorials/fairchem_models_for_nebs	2024-09-18 22:03	auto	0.71	✅
tutorials/intro	2024-09-18 22:03	auto	5.29	✅