Where does the newly trained model go?
Nobody has claimed this yet.
Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
No file, test, or entry point is named in the issue. Trace the training workflow to determine where the newly trained model is saved, then document that location and confirm the instructions answer this question for a fresh training run.
Written by the indexing model from the issue text.
Description
I have successfully been able to get training to happen, but I am unsure of where the new model gets saved...I didnt find it anywhere. Thanks so much!
- Dominant language
- Python
- Stars
- 3.9k
- Forks
- 488
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from Stability-AI/stable-audio-tools
-
Possible incorrect use of `and` with multiple context managersPossibly taken @rodriguescarson claimed this 126 days ago. Open
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
Stability-AI/stable-audio-tools#238 · 2 comments ·
-
Difficulty 4/5 3-5 days Newbie friendliness 35/100
-
run_gradio.py fails out of the box on Apple Silicon (MPS): float64 crash, slice TypeError, missing ui depsMay be free again A pull request for this issue was closed without being merged. Open
Difficulty 4/5 3-5 days Newbie friendliness 72/100
-
Difficulty 4/5 3-5 days Newbie friendliness 45/100
-
Difficulty 3/5 1-2 days Newbie friendliness 25/100
All issues in Stability-AI/stable-audio-tools
Similar issues
-
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
FinanceFlash/unvibecode#509 ·
-
Difficulty 1/5 Under an hour Newbie friendliness 82/100
FAIRmat-NFDI/nomad-distro-dev#161 ·
-
bug v2
Difficulty 2/5 1-3 hours Newbie friendliness 76/100
modelcontextprotocol/python-sdk#3821 · 1 comment ·
Maintainers usually reply within 1 day
-
bug severity:low
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
Maintainers usually reply within 2 days
-
Log-odds calibration uses upper middle score instead of median for even candidate setsPossibly taken @flysheep-ai claimed this today. Open
Difficulty 2/5 1-3 hours Newbie friendliness 82/100
Maintainers usually reply within 1 day