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/rec/__init__.pyi from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 347 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/rec/__init__.pyi
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/rec/__init__.pyi
-
curl -L -o __init__.pyi https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/rec/__init__.pyi
347 Bytes
| from numpy._core.records import ( | |
| array, | |
| find_duplicate, | |
| format_parser, | |
| fromarrays, | |
| fromfile, | |
| fromrecords, | |
| fromstring, | |
| recarray, | |
| record, | |
| ) | |
| __all__ = [ | |
| "record", | |
| "recarray", | |
| "format_parser", | |
| "fromarrays", | |
| "fromrecords", | |
| "fromstring", | |
| "fromfile", | |
| "array", | |
| "find_duplicate", | |
| ] | |