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 /_pcg64.cpython-314-darwin.so
Download .venv/lib/python3.14/site-packages/numpy/random/_pcg64.cpython-314-darwin.so from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 134 kB
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/random/_pcg64.cpython-314-darwin.so
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/random/_pcg64.cpython-314-darwin.so
-
curl -L -o _pcg64.cpython-314-darwin.so https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/random/_pcg64.cpython-314-darwin.so
134 kB
- Xet hash:
- 35236352029d6d1329291dc12481b3f95fd1e716e880fa750ce40867ed252d39
- Size of remote file:
- 134 kB
- SHA256:
- c105f8939a604582ff50fcfc6567d453356f50c86e114df6b64d64163dc9c6d0
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