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.
1 maintainer
Metadata
1 maintainer
Release files for ptloader 0.3.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ptloader-0.3.0.tar.gz | 4.5 kB | Without provenance | Details for ptloader-0.3.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ptloader-0.3.0-py3-none-any.whl | Python 3 | none | any | Details for ptloader-0.3.0-py3-none-any.whl |
Total release size: 10.0 kB
Release files / ptloader-0.3.0.tar.gz
| Download URL | ptloader-0.3.0.tar.gz |
|---|---|
| Size | 4.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / ptloader-0.3.0-py3-none-any.whl
| Download URL | ptloader-0.3.0-py3-none-any.whl |
|---|---|
| Size | 5.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Security for ptloader 0.3.0
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