Instructions to use kernels-community/rwkv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use kernels-community/rwkv with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("kernels-community/rwkv") - Notebooks
- Google Colab
- Kaggle
Uploaded using `kernel-builder`.
Browse files
.gitattributes
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@@ -130,3 +130,4 @@ build/torch211-cxx11-cu126-aarch64-linux/_rwkv_cuda_3798a3c.abi3.so filter=lfs d
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build/torch211-cxx11-cu128-aarch64-linux/_rwkv_cuda_3798a3c.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch211-cxx11-cu130-aarch64-linux/_rwkv_cuda_3798a3c.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch29-cxx11-cu129-aarch64-linux/_rwkv_cuda_3798a3c.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch211-cxx11-cu128-aarch64-linux/_rwkv_cuda_3798a3c.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch211-cxx11-cu130-aarch64-linux/_rwkv_cuda_3798a3c.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch29-cxx11-cu129-aarch64-linux/_rwkv_cuda_3798a3c.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch211-cu128-x86_64-windows/_rwkv_cuda_34ead3e.pyd filter=lfs diff=lfs merge=lfs -text
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build/torch211-cu128-x86_64-windows/_ops.py
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import torch
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from . import
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ops = torch.ops.
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def add_op_namespace_prefix(op_name: str):
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"""
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Prefix op by namespace.
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"""
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return f"
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import torch
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from . import _rwkv_cuda_34ead3e
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ops = torch.ops._rwkv_cuda_34ead3e
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def add_op_namespace_prefix(op_name: str):
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"""
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Prefix op by namespace.
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"""
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return f"_rwkv_cuda_34ead3e::{op_name}"
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build/torch211-cu128-x86_64-windows/{_rwkv_cuda_e0b537a.pyd → _rwkv_cuda_34ead3e.pyd}
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 423424
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3f32a44f0fb6889e8f065785c1316d816c7499d977e1707e946bd1908a8a0f2
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size 423424
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