Prepare release v0.3.13 (Kaggle#257)

As titled.

This is to fix [Issue
Kaggle#254](Kaggle#254)

Prepare 0.3.12 release (Kaggle#242)

http://b/388077145

[API] Update user agent for torchtune (Kaggle#237)

Enable tracking of torchtune models via kagglehub api. This is the
change for kagglehub part. PR for midtier change is
http://go/kaggle-pr/34437

Fix = [b/381021004](https://buganizer.corp.google.com/issues/381021004)

Note: To test this change without midtier changes in production, you
need to have a midtier running locally and add breakpoint to review the
value for `userAgent` in `ProtoHttpRuleController.ApiV1.cs.` With that:

- Creating a python virtual environment

- Import this kagglehub version `pip install
git+https://github.com/Kaggle/kagglehub.git@nan_torch`

- Import torchtune and its required dependencies

- set environment variables 
export KAGGLE_USERNAME=[your_user_name]
export KAGGLE_KEY=local_api_token

- in virtual environment, run command `tune download
"google/bert/tensorFlow2/answer-equivalence-bem" --source "kaggle"`

- verify user agent has torchtune and its associated version 
<img width="650" alt="Screenshot 2025-03-30 at 12 18 49 PM"
src="https://github.com/user-attachments/assets/3993667f-489c-415a-9446-073bc926089c"
/>

Release 0.3.10 (Kaggle#231)

Staging 0.3.9 release (Kaggle#229)

Release 0.3.8 (Kaggle#226)

Fix uv user reported issues.

See b/395859806 and Kaggle#224

Release 0.3.7 (Kaggle#219)

Prepare 0.3.6 release (Kaggle#199)

http://b/379756505

Prepare 0.3.5 release (Kaggle#191)

Fixes Kaggle#137

Prepare 0.3.4 release (Kaggle#180)

Cutting a new release to include the Colab dataset cache resolver (new
release requested by the Colab team).