metadata
license: mit
explain a high-level overview of your code and how to run your code: including what packages I must install, and where the data came from and in which folder it must go.
Face Recognition Model
Files
- modelWeights101.bin
- Weights of model we trained using the Gebru server
- app.py, model.py, and config.json
- Standard files used by Hugging Face (HF) to setup the architecture of the model in conjunction with the weights
- updateHFtemplate
- Used this file to update the above files in the Hugging Face repository
- The weights file did not update properly using standard gate, so we used Hugging Face Hub with this file to properly update the repo
Neccessary Package
- Since the model all runs on Hugging Face, you don't need to install any packages.
- However, if you do want to run the model locally, you will need to install these following packages:
- torch
- numpy
- torchvision
- huggingface_hub
- You also need a personal HG login token to update using HF Hub
Running
- You can run this model using the Hugging Face Space: CSSE416-final-project/faceRecogModel
- You can upload images through the Space UI.
- Alternatively, if you want to run the model locally, you can use <> file to load the weights.