YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
Model Upload and Contribution Guide
This guide assumes you have a Hugging Face account and access to the ErasingResearch organization.
Prerequisites
- Account: Ensure you’ve joined the ErasingResearch organization.
- Directory Structure: Store all models in a single directory (models can be organized in subfolders).
- Authentication: If prompted for login details, use:
- Username: Your Hugging Face username
- Password: Your Hugging Face write token
Setup
1. Create a .env
File
In the project’s root directory, create a .env
file with your Hugging Face API key:
HUGGINGFACE_API_KEY="your_write_token"
2. Enter Virtual Environment
Activate the Python environment with Pipenv:
pipenv shell
3. Initialize Git LFS
Run Git Large File Storage (LFS) initialization:
git lfs install
4. Upload Models
Run the upload script, specifying the path to your models folder:
python3 upload.py "path/to/models/folder"
Contributing Code
To add new code or update existing files without downloading large model weights:
1. Pull Latest Code
Pull the latest version from the repository to sync any recent changes (this step uses LFS but doesn’t download model weights):
git pull
2. Make Your Changes
Add or update code as needed.
3. Push Changes
Commit and push your changes:
git push origin
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.