Instructions to use flashrt/causal-conv1d-state with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use flashrt/causal-conv1d-state with Kernels:
# !pip install kernels from kernels import get_kernel # a version (or an explicit revision) is required; see the "Files and versions" tab for the available ones kernel = get_kernel("flashrt/causal-conv1d-state", version=1) - Notebooks
- Google Colab
- Kaggle
Initialize legacy kernels compatibility mirror
Browse files
README.md
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library_name: kernels
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tags:
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- cuda
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- pytorch
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- flashrt
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- causal-conv1d
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- qwen3
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- transformer
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---
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for Hugging Face Kernel Hub. This package is useful for transformer runtimes
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that keep Conv1D state on device during decode/verify/prefill.
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# flashrt/causal-conv1d-state
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This repository is a compatibility mirror for older `kernels` clients
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that resolve repositories through the default Hugging Face model repo API.
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Canonical Kernel Hub repo: https://huggingface.co/kernels/flashrt/causal-conv1d-state
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Do not edit this mirror by hand. It is generated from the Kernel Hub
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`vN` branches and contains the same `build/**` artifacts.
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