ivanfioravanti / wine_variety_classification
Examples on how to use various LLM providers with a Wine Classification problem
Why this job: topics: ollama, mlx
What it does
- Structured Output implementation for consistent responses (where possible)
- Performance comparison between different models
- Support for parallel processing with some providers
Get started
uv venv .venv -p 3.13
source .venv/bin/activate
uv sync You need: Python 3.12+; Jupyter Notebook; API keys for various providers (store in .env file):
- Maintenance
- Inactive
- Last commit 6 months ago
- Stars
- 129
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 86% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 0% closed
- 1 still open
- Pull requests
- 9 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 86%
- Jupyter Notebook 14%
Topics
- llm
- mlx
- ollama
- openai
Project record
- JobLocal LLMs
- StatusListed
- Commits45
- Forks9
- Watching4
- Stars in 28 days0
- CreatedJan 5, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026