Instructions to use jonl521/modeling_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonl521/modeling_simple with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonl521/modeling_simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 493 Bytes
2216aae | 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 | from ._helper import fftfreq, fftshift, ifftshift, rfftfreq
from ._pocketfft import (
fft,
fft2,
fftn,
hfft,
ifft,
ifft2,
ifftn,
ihfft,
irfft,
irfft2,
irfftn,
rfft,
rfft2,
rfftn,
)
__all__ = [
"fft",
"ifft",
"rfft",
"irfft",
"hfft",
"ihfft",
"rfftn",
"irfftn",
"rfft2",
"irfft2",
"fft2",
"ifft2",
"fftn",
"ifftn",
"fftshift",
"ifftshift",
"fftfreq",
"rfftfreq",
]
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