Instructions to use ZibinDong/ActionCodec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZibinDong/ActionCodec2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ZibinDong/ActionCodec2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,692 Bytes
1bfc3f0 7c09a0c 1bfc3f0 7c09a0c 1bfc3f0 7c09a0c 1bfc3f0 7c09a0c 1bfc3f0 7c09a0c 1bfc3f0 7c09a0c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | """Dispatch AC2 numerical work to the optional C++ runtime."""
from __future__ import annotations
import os
__all__ = ["native", "have_native", "require_native", "resolve_backend", "native_kernel"]
try: # pragma: no cover - exercised by whichever branch the build state picks
from . import _native as native
except ImportError: # pragma: no cover
try:
from actioncodec2.core.backends.actioncodec2 import _native as native
except ImportError:
try:
from actioncodec2_kernels import _native as native
except ImportError:
native = None
def have_native() -> bool:
"""True when the compiled kernels are importable and not disabled."""
return native is not None and not os.environ.get("ACTIONCODEC2_NO_NATIVE")
def native_kernel(name: str):
"""Resolve an optional kernel, honoring the Python reference override."""
return getattr(native, name, None) if have_native() else None
def require_native():
"""Return the native module or explain how to get one."""
if not have_native():
raise RuntimeError(
"the actioncodec2 native extension is not available; run "
"'python setup.py build_ext --inplace' from the repository root or "
"select backend='python'"
)
return native
def resolve_backend(backend: str) -> str:
"""Turn ``'auto'`` into a concrete backend name."""
if backend not in {"auto", "native", "python"}:
raise ValueError("backend must be 'auto', 'native' or 'python'")
if backend == "auto":
return "native" if have_native() else "python"
if backend == "native":
require_native()
return backend
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