Load torch checkpoints as NumPy arrays without torch at runtime.
Project description
ptloader
Load zip-based PyTorch checkpoints as NumPy arrays, without installing torch at runtime.
Quickstart
uv add ptloader
import ptloader
state = ptloader.load("model.pt")
print(type(state["layer.weight"])) # numpy.ndarray
ptloader.load(...) supports str | pathlib.Path | BinaryIO and converts tensors to numpy.ndarray while preserving nested container structure.
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