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 /_mt19937.cpython-314-darwin.so
Download .venv/lib/python3.14/site-packages/numpy/random/_mt19937.cpython-314-darwin.so from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 132 kB
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/random/_mt19937.cpython-314-darwin.so
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/random/_mt19937.cpython-314-darwin.so
-
curl -L -o _mt19937.cpython-314-darwin.so https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/random/_mt19937.cpython-314-darwin.so
132 kB
- Xet hash:
- 18b62e7aa3cd6e9fc5ad43d99d940bb5dfde349dcea5d8541aeadaa55bb7a5a0
- Size of remote file:
- 132 kB
- SHA256:
- efd673e1e9b512010e63ec9865cbf0a8cfa6fa96123436792cae33209a45443a
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