Instructions to use kernels-community/quantization-bitsandbytes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use kernels-community/quantization-bitsandbytes with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("kernels-community/quantization-bitsandbytes") - Notebooks
- Google Colab
- Kaggle
quantization-bitsandbytes / build /torch212-cxx11-cpu-x86_64-linux /_quantization_bitsandbytes_cpu_dbc4d19.abi3.so
- Xet hash:
- 7a5845612c837bfd5abcb98268700228936da7fd657925f9fdd24c26531a453a
- Size of remote file:
- 147 kB
- SHA256:
- f9770f60bc879c7a9e116c6dd19ffe6b0ff793cc561e9262247299fef07c9053
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