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/_utils/_convertions.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 329 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/_utils/_convertions.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/_utils/_convertions.py
-
curl -L -o _convertions.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/_utils/_convertions.py
329 Bytes
| """ | |
| A set of methods retained from np.compat module that | |
| are still used across codebase. | |
| """ | |
| __all__ = ["asunicode", "asbytes"] | |
| def asunicode(s): | |
| if isinstance(s, bytes): | |
| return s.decode('latin1') | |
| return str(s) | |
| def asbytes(s): | |
| if isinstance(s, bytes): | |
| return s | |
| return str(s).encode('latin1') | |