A file format for storing tensors that is secure (doesn't allow for code execution), fast and simple to implement. 'safetensors' also enables cross language and cross frameworks compatibility making it an ideal format for storing machine learning model weights.
| Version: | 0.1.2 |
| Imports: | cli, jsonlite, R6, rlang |
| Suggests: | testthat (≥ 3.0.0), torch (≥ 0.11.0) |
| Published: | 2023-09-12 |
| DOI: | 10.32614/CRAN.package.safetensors |
| Author: | Daniel Falbel [aut, cre], Posit [cph] |
| Maintainer: | Daniel Falbel <daniel at posit.co> |
| BugReports: | https://github.com/mlverse/safetensors/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/mlverse/safetensors, https://mlverse.github.io/safetensors/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | safetensors results |
| Reference manual: | safetensors.pdf |
| Package source: | safetensors_0.1.2.tar.gz |
| Windows binaries: | r-devel: safetensors_0.1.2.zip, r-release: safetensors_0.1.2.zip, r-oldrel: safetensors_0.1.2.zip |
| macOS binaries: | r-release (arm64): safetensors_0.1.2.tgz, r-oldrel (arm64): safetensors_0.1.2.tgz, r-release (x86_64): safetensors_0.1.2.tgz, r-oldrel (x86_64): safetensors_0.1.2.tgz |
| Old sources: | safetensors archive |
| Reverse imports: | torch |
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