Instructions to use SZLHOLDINGS/YARQA-ATTN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use SZLHOLDINGS/YARQA-ATTN with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("SZLHOLDINGS/YARQA-ATTN") - Notebooks
- Google Colab
- Kaggle
Bind GitHub szl-holdings/YARQA-ATTN@098d19b: KERNEL card (python present, not import-LIVE) + torch-ext/yarqa_attn
621477d verified | # SPDX-FileCopyrightText: 2026 SZL Holdings | |
| # SPDX-License-Identifier: Apache-2.0 | |
| from __future__ import annotations | |
| import os | |
| import sys | |
| from pathlib import Path | |
| import pytest | |
| import torch | |
| _REPO_ROOT = Path(__file__).resolve().parents[1] | |
| _TORCH_EXT = _REPO_ROOT / "torch-ext" | |
| def pytest_configure(config: pytest.Config) -> None: | |
| config.addinivalue_line( | |
| "markers", | |
| "kernels_ci: kernel-builder CI tests (keep the marked set under 60s)", | |
| ) | |
| def _load_via_get_kernel(): | |
| kernels = pytest.importorskip("kernels") | |
| return kernels.get_kernel( | |
| "SZLHOLDINGS/YARQA-ATTN", | |
| revision="main", | |
| trust_remote_code=True, | |
| ) | |
| def kernel_mod(): | |
| """Load the kernel the way Hub users will: ``get_kernel``. | |
| kernel-builder testshell sets ``LOCAL_KERNELS`` — load failures there | |
| are real failures, not skips. Source-tree developers may set | |
| ``SZL_SOURCE_TREE_TESTS=1`` to import ``torch-ext/yarqa_attn`` | |
| directly. That path is labeled and is not a fabricated Hub load. | |
| """ | |
| if os.environ.get("SZL_SOURCE_TREE_TESTS") == "1": | |
| sys.path.insert(0, str(_TORCH_EXT)) | |
| import yarqa_attn | |
| return yarqa_attn | |
| if os.environ.get("LOCAL_KERNELS"): | |
| return _load_via_get_kernel() | |
| try: | |
| return _load_via_get_kernel() | |
| except Exception as exc: | |
| pytest.skip( | |
| "get_kernel could not load SZLHOLDINGS/YARQA-ATTN " | |
| f"({type(exc).__name__}: {exc}). Not a pass. Set " | |
| "SZL_SOURCE_TREE_TESTS=1 to exercise the source tree, or run " | |
| "under kernel-builder testshell (LOCAL_KERNELS)." | |
| ) | |
| def cpu_device() -> torch.device: | |
| return torch.device("cpu") | |