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/include/ATen/DynamicLibrary.h from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 679 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/torch/include/ATen/DynamicLibrary.h
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/torch/include/ATen/DynamicLibrary.h
-
curl -L -o DynamicLibrary.h https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/torch/include/ATen/DynamicLibrary.h
679 Bytes
| namespace c10 { | |
| class DynamicLibraryError : public Error { | |
| using Error::Error; | |
| }; | |
| } // namespace c10 | |
| namespace at { | |
| struct DynamicLibrary { | |
| AT_DISALLOW_COPY_AND_ASSIGN(DynamicLibrary); | |
| DynamicLibrary(DynamicLibrary&& other) = delete; | |
| DynamicLibrary& operator=(DynamicLibrary&&) = delete; | |
| TORCH_API DynamicLibrary( | |
| const char* name, | |
| const char* alt_name = nullptr, | |
| bool leak_handle = false); | |
| TORCH_API void* sym(const char* name); | |
| TORCH_API ~DynamicLibrary(); | |
| private: | |
| bool leak_handle; | |
| void* handle = nullptr; | |
| }; | |
| } // namespace at | |