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/kineto/LoggingAPI.h from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 346 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/torch/include/kineto/LoggingAPI.h
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/torch/include/kineto/LoggingAPI.h
-
curl -L -o LoggingAPI.h https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/torch/include/kineto/LoggingAPI.h
346 Bytes
| /* | |
| * Copyright (c) Meta Platforms, Inc. and affiliates. | |
| * All rights reserved. | |
| * | |
| * This source code is licensed under the BSD-style license found in the | |
| * LICENSE file in the root directory of this source tree. | |
| */ | |
| namespace libkineto { | |
| int getLogSeverityLevel(); | |
| void setLogSeverityLevel(int level); | |
| } // namespace libkineto | |