release v1.0.0

Release 1.0.0 (#288)

release v0.4.3

Release 0.4.3 (#287)

release v0.4.2

Release 0.4.2 (#282)

http://b/479835274

release v0.4.1

Release 0.4.1 (#280)

http://b/477283660

release v0.4.0

Fix lints (#274)

release v0.3.13

Prepare release v0.3.13 (#257)

As titled.

This is to fix [Issue
#254](https://github.com/Kaggle/kagglehub/issues/254)

release v0.3.12

Prepare 0.3.12 release (#242)

http://b/388077145

release v0.3.11

[API] Update user agent for torchtune (#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 v0.3.10

Release 0.3.10 (#231)

release v0.3.9

Staging 0.3.9 release (#229)