https://github.com/charles-zhng/seeing-eye-dog
learning to use mlx by doing vlm inference with quantized models
Science Score: 13.0%
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Low similarity (2.9%) to scientific vocabulary
Last synced: 10 months ago
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Repository
learning to use mlx by doing vlm inference with quantized models
Basic Info
- Host: GitHub
- Owner: charles-zhng
- Language: Jupyter Notebook
- Default Branch: main
- Size: 2.44 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
README.md
seeing-eye-dog
except it talks to you in english and it's just your phone
learning to use mlx by
- doing vlm inference with quantized models.
- deploy on device for (hopefully) realtime inference
- make it better idk
todos
[x] baby's first local inference [ ] connect to laptop webcam to get images (start off sampling every 5 secs or so) [ ] text to speech (in future use fusion model to directly go from image/prompt to speech) [ ] make it faster
Owner
- Name: Charles Zhang
- Login: charles-zhng
- Kind: user
- Repositories: 1
- Profile: https://github.com/charles-zhng
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