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| # Model Weights | |
| Place the trained model files here after running the Colab training notebook. | |
| ## Required files | |
| | File | Source | Description | | |
| |---|---|---| | |
| | `sign_transformer_best.pt` | Google Drive β BridgeLink-ASL β models/ | Trained Transformer weights + label map + config (~5 MB) | | |
| | `labels.json` | Google Drive β BridgeLink-ASL β models/ | Label index β gloss name mapping | | |
| ## How to get them | |
| 1. Open Google Drive β `BridgeLink-ASL/models/` | |
| 2. Download `sign_transformer_best.pt` and `labels.json` | |
| 3. Place both files in this `models/` directory | |
| The app loads `sign_transformer_best.pt` at startup. If the file is missing, | |
| the app will start but show a "Model: NOT LOADED" banner and predictions | |
| won't work. | |
| ## Alternative: Hugging Face Hub | |
| Instead of committing the `.pt` file to git, you can upload it to a HF model | |
| repo and set `HF_MODEL_REPO=your-username/repo-name` as an environment | |
| variable. The app will auto-download from the Hub at startup. | |