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
modeling_simple / .venv /lib /python3.14 /site-packages /numpy /random /_philox.cpython-314-darwin.so
Download .venv/lib/python3.14/site-packages/numpy/random/_philox.cpython-314-darwin.so from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 116 kB
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/random/_philox.cpython-314-darwin.so
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/random/_philox.cpython-314-darwin.so
-
curl -L -o _philox.cpython-314-darwin.so https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/random/_philox.cpython-314-darwin.so
116 kB
- Xet hash:
- fce816988bc9f7466f6ce1b7399dd57eea19f2f1bddf1fb40b7e85128713ede1
- Size of remote file:
- 116 kB
- SHA256:
- f4d52b42b28f9ad0ad1ee690040292e698ba7595d353da80396d99c0bac338e9
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