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 /torch211-cxx11-cpu-x86_64-linux /_quantization_bitsandbytes_cpu_817f262.abi3.so
- Xet hash:
- fe838065845f5200316b71b7ae3c6fdba771d158a8d74a4194be650eb7d21662
- Size of remote file:
- 1.99 MB
- SHA256:
- d040bd66e1feb75b566ff987f9ac4baf00520ee9252608f5427f96dd458d59fc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.