{"library":"runai-model-streamer-azure","title":"Run:AI Model Streamer for Azure","description":"A library for streaming AI model artifacts from Azure Blob Storage to GPU nodes in Run:AI environments. Supports asynchronous prefetching, caching, and direct loading into PyTorch/TensorFlow. Current version 0.15.9 with weekly releases.","language":"python","status":"active","last_verified":"Fri May 01","install":{"commands":["pip install runai-model-streamer-azure"],"cli":null},"imports":["from runai_model_streamer_azure import AzureModelStreamer","from runai_model_streamer_azure import StreamConfig"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"from runai_model_streamer_azure import AzureModelStreamer, StreamConfig\n\nconfig = StreamConfig(\n    container=\"my-models\",\n    blob_prefix=\"models/resnet50/\",\n    connection_string=os.environ.get(\"AZURE_STORAGE_CONNECTION_STRING\", \"\")\n)\nstreamer = AzureModelStreamer(config)\nlocal_path = streamer.fetch(\"model.pt\")\nprint(local_path)","lang":"python","description":"Initializes a streamer to fetch a model checkpoint from Azure Blob Storage.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}