We strongly recommend downloading kernels from the Hub using the kernels
package, since this comes with large benefits over using Python
wheels. That said, some projects may require deployment of kernels as
wheels. The kernels utility provides a simple solution to this. You can
convert any Hub kernel into a set of wheels with the to-wheel command:
$ kernels to-wheel drbh/img2grey 1.1.2 ☸ img2grey-1.1.2+torch27cu128cxx11-cp39-abi3-manylinux_2_28_x86_64.whl ☸ img2grey-1.1.2+torch26cu124cxx11-cp39-abi3-manylinux_2_28_x86_64.whl ☸ img2grey-1.1.2+torch26cu126cxx11-cp39-abi3-manylinux_2_28_x86_64.whl ☸ img2grey-1.1.2+torch27cu126cxx11-cp39-abi3-manylinux_2_28_x86_64.whl ☸ img2grey-1.1.2+torch26cu126cxx98-cp39-abi3-manylinux_2_28_x86_64.whl ☸ img2grey-1.1.2+torch27cu128cxx11-cp39-abi3-manylinux_2_28_aarch64.whl ☸ img2grey-1.1.2+torch26cu126cxx98-cp39-abi3-manylinux_2_28_aarch64.whl ☸ img2grey-1.1.2+torch27cu126cxx11-cp39-abi3-manylinux_2_28_aarch64.whl ☸ img2grey-1.1.2+torch26cu126cxx11-cp39-abi3-manylinux_2_28_aarch64.whl ☸ img2grey-1.1.2+torch26cu118cxx98-cp39-abi3-manylinux_2_28_x86_64.whl ☸ img2grey-1.1.2+torch26cu124cxx98-cp39-abi3-manylinux_2_28_x86_64.whl ☸ img2grey-1.1.2+torch26cu118cxx11-cp39-abi3-manylinux_2_28_x86_64.whl ☸ img2grey-1.1.2+torch27cu118cxx11-cp39-abi3-manylinux_2_28_x86_64.whl
Use kernels upload <dir_containing_build> --repo_id="hub-username/kernel" to upload
your kernel builds to the Hub.
Notes:
repo_id provided.repo_id already exists and if it contains a build with the build variant
being uploaded, it will attempt to delete the files existing under it.hf auth login if not) to be able to perform uploads to the Hub.