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 /torch210-cxx11-cpu-x86_64-linux /_quantization_bitsandbytes_cpu_817f262.abi3.so
- Xet hash:
- d60ccfd186ffd3a3ae651b9cf0f72ff35b8d622fa82f5f4ce7b3b2f6f3f40655
- Size of remote file:
- 1.99 MB
- SHA256:
- ead6baa630df2338c3a3b09107d51e7af1e5014e4ee2d4960d1a43a360e85b1f
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