| """ |
| Adapters Integration Substrate for Fiber-MoE Autonomous World Model |
| Integrates official AdapterHub / 🤗 Adapters (AutoAdapterModel, dynamic composition, upload to Hub). |
| """ |
|
|
| import adapters |
| from adapters import AutoAdapterModel, list_adapters |
| import torch |
|
|
| class FiberAdapterEngine: |
| def __init__(self, base_model_name: str = "FacebookAI/roberta-base"): |
| self.base_model_name = base_model_name |
| self.adapters_version = adapters.__version__ |
|
|
| def search_available_adapters(self, model_name: str = None, source: str = "hf"): |
| """Query adapters on Hugging Face Hub or AdapterHub.""" |
| target = model_name or self.base_model_name |
| try: |
| return list_adapters(source=source, model_name=target) |
| except Exception as e: |
| return {"error": str(e)} |
|
|
| def get_info(self): |
| return { |
| "library": "adapters", |
| "version": self.adapters_version, |
| "status": "ready", |
| "capabilities": [ |
| "AutoAdapterModel loading", |
| "Parameter-efficient LoRA/Bottleneck/Prefix tuning", |
| "Multi-adapter dynamic composition & routing", |
| "Hub push/pull support (push_adapter_to_hub)" |
| ] |
| } |
|
|
| if __name__ == "__main__": |
| engine = FiberAdapterEngine() |
| print("FiberAdapterEngine initialized successfully!") |
| print(engine.get_info()) |
|
|
