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
Download .venv/lib/python3.14/site-packages/numpy/fft/__init__.pyi from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 493 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/fft/__init__.pyi
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/fft/__init__.pyi
-
curl -L -o __init__.pyi https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/fft/__init__.pyi
493 Bytes
| 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", | |
| ] | |