Instructions to use BACCHUS45/Potex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use BACCHUS45/Potex with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("BACCHUS45/Potex", set_active=True) - Notebooks
- Google Colab
- Kaggle
Create docker compose logs -f verification docker compose logs -f billing docker compose logs -f apollo
Browse files
docker compose logs -f verification docker compose logs -f billing docker compose logs -f apollo
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You should see verification worker confirm and billing worker settle (fake tx).
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## Next steps and production notes
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- Replace verification stub with ML model or human review queue (use S3/local storage for images)
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- Integrate real payment gateway / TMS for settlements
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- Add auth & RBAC on GraphQL (JWT / OAuth)
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- Use persistent object storage for images (S3 / MinIO)
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- Harden network & secrets (Vault / KMS), TLS, and monitoring (Prometheus/Grafana)
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