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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonl521/modeling_simple", dtype="auto") - Notebooks
- Google Colab
- Kaggle
modeling_simple / .venv /lib /python3.14 /site-packages /numpy /fft /_pocketfft_umath.cpython-314-darwin.so
- Xet hash:
- f3fb7dad48c346c9350ff91273d5389c4653e081cdd4fccfd808437289edef89
- Size of remote file:
- 330 kB
- SHA256:
- 617beb0a629167cb7951762bec9237af45e4246d98bb144955a7994f438f68a5
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