| # Model Usage Instructions |
|
|
| ## Loading the Model |
|
|
| ```python |
| import torch |
| from pathlib import Path |
| |
| # Load the main LAM model (14GB) |
| model_path = "model_weights/lam_model.pt" |
| model = torch.load(model_path, map_location='cuda' if torch.cuda.is_available() else 'cpu') |
| |
| # Or load the smaller checkpoint |
| checkpoint = torch.load("checkpoints/best.pt") |
| ``` |
|
|
| ## Model Files |
|
|
| - `model_weights/lam_model.pt` - Main unified model (14GB) |
| - `checkpoints/best.pt` - Best training checkpoint (6MB) |
| - `model_weights/sample_vision_weights.pt` - Vision module weights |
| - `model_weights/config.json` - Model configuration |
| - `model_weights/capabilities.json` - Model capabilities definition |
|
|
| ## Requirements |
|
|
| ```bash |
| pip install torch torchvision transformers pillow |
| ``` |
|
|
| ## Inference Example |
|
|
| ```python |
| # Coming soon - full inference pipeline |
| ``` |
|
|
