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Releases: Kaggle/kagglehub

release v0.3.12

23 Apr 23:04
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Prepare 0.3.12 release (#242)

http://b/388077145

release v0.3.11

02 Apr 16:22
db6bfcf
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[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

25 Feb 23:09
7cfa8da
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Release 0.3.10 (#231)

release v0.3.9

18 Feb 18:12
32517b8
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Staging 0.3.9 release (#229)

release v0.3.8

13 Feb 20:43
addc188
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Release 0.3.8 (#226)

Fix uv user reported issues.

See b/395859806 and https://github.com/Kaggle/kagglehub/issues/224

release v0.3.7

31 Jan 23:41
83e7709
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Release 0.3.7 (#219)

release v0.3.6

20 Dec 17:30
dc0b6d6
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Prepare 0.3.6 release (#199)

http://b/379756505

release v0.3.5

11 Dec 19:00
4f2206a
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Prepare 0.3.5 release (#191)

Fixes #137

release v0.3.4

08 Nov 18:44
38395f0
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Prepare 0.3.4 release (#180)

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

release v0.3.3

17 Oct 14:50
6fe2e02
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Prepare 0.3.3 release (#174)

http://b/373985867