Kagglehub

* Improve upload by ignoring patterns ([147](https://github.com/Kaggle/kagglehub/pull/147))
* Upload with empty files ([145](https://github.com/Kaggle/kagglehub/pull/145))
* Attach dataset in Kaggle notebook environment ([134](https://github.com/Kaggle/kagglehub/pull/134))
* Upload datasets using `kagglehub.dataset_upload(...)` ([149](https://github.com/Kaggle/kagglehub/pull/149))
* Download datasets using `kagglehub.dataset_download(...)` ([131](https://github.com/Kaggle/kagglehub/pull/131))

* Added support for implicit token auth in kaggle notebooks ([141](https://github.com/Kaggle/kagglehub/pull/141))
* Improve logging for cached models in Kaggle & Colab environments ([142](https://github.com/Kaggle/kagglehub/pull/142))

* Fix model downloading bug

* Add support for `.zip` archive ([135](https://github.com/Kaggle/kagglehub/pull/135))
* Reduce spammy logging ([124](https://github.com/Kaggle/kagglehub/pull/124))
* Download model files in parallel ([122](https://github.com/Kaggle/kagglehub/pull/122))

* Add missing packaging dependencies ([115](https://github.com/Kaggle/kagglehub/pull/115))
* Create whoami method ([114](https://github.com/Kaggle/kagglehub/pull/114))
* Migrate all tests to use Flask ([111](https://github.com/Kaggle/kagglehub/pull/111))

* Create a new version when model instance exist but no versions are ready yet ([108](https://github.com/Kaggle/kagglehub/pull/108))
* Remove zipping in upload ([105](https://github.com/Kaggle/kagglehub/pull/105))