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/torch/jit/generate_bytecode.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 1.04 kB
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/torch/jit/generate_bytecode.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/torch/jit/generate_bytecode.py
-
curl -L -o generate_bytecode.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/torch/jit/generate_bytecode.py
1.04 kB
| # mypy: allow-untyped-defs | |
| from torch._C import _compile_graph_to_code_table, _generate_upgraders_graph | |
| def format_bytecode(table): | |
| # given a nested tuple, convert it to nested list | |
| def listify(content): | |
| if not isinstance(content, tuple): | |
| return content | |
| return [listify(i) for i in content] | |
| formatted_table = {} | |
| for entry in table: | |
| identifier = entry[0] | |
| content = entry[1] | |
| content = listify(content) | |
| formatted_table[identifier] = content | |
| return formatted_table | |
| def generate_upgraders_bytecode() -> list: | |
| yaml_content = [] | |
| upgraders_graph_map = _generate_upgraders_graph() | |
| for upgrader_name, upgrader_graph in upgraders_graph_map.items(): | |
| bytecode_table = _compile_graph_to_code_table(upgrader_name, upgrader_graph) | |
| entry = {upgrader_name: format_bytecode(bytecode_table)} | |
| yaml_content.append(entry) | |
| return yaml_content | |
| if __name__ == "__main__": | |
| raise RuntimeError("This file is not meant to be run directly") | |