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
Ctrl+K
- __pycache__
- _distutils_hack
- _yaml
- certifi-2026.1.4.dist-info
- certifi
- charset_normalizer-3.4.4.dist-info
- charset_normalizer
- filelock-3.20.3.dist-info
- filelock
- fsspec-2026.1.0.dist-info
- fsspec
- functorch
- hf_xet-1.2.0.dist-info
- hf_xet
- huggingface_hub-0.36.0.dist-info
- huggingface_hub
- idna-3.11.dist-info
- idna
- jinja2-3.1.6.dist-info
- jinja2
- markupsafe-3.0.3.dist-info
- markupsafe
- mpmath-1.3.0.dist-info
- mpmath
- networkx-3.6.1.dist-info
- networkx
- numpy-2.4.1.dist-info
- numpy
- packaging-25.0.dist-info
- packaging
- pip-25.3.dist-info
- pip
- pkg_resources
- pyyaml-6.0.3.dist-info
- regex-2026.1.14.dist-info
- regex
- requests-2.32.5.dist-info
- requests
- safetensors-0.7.0.dist-info
- safetensors
- setuptools-80.9.0.dist-info
- setuptools
- sympy-1.14.0.dist-info
- sympy
- tokenizers-0.22.2.dist-info
- tokenizers
- torch-2.9.1.dist-info
- torch
- torchgen
- tqdm-4.67.1.dist-info