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_817f262.abi3.so
- Xet hash:
- 9af735843a63da9cb2f65321b1acdb54a4c9fd95d4c9ced24eb19eae489fba73
- Size of remote file:
- 1.99 MB
- SHA256:
- ba7d51e9f9a7f540f80697163c3caffdae7c2f036904cee93e6d9406f28a4741
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