Instructions to use JayKimDevolved/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JayKimDevolved/tmp with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JayKimDevolved/tmp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tmp86qnc9pv/__pycache__/_remote_module_non_scriptable.cpython-310.pyc from JayKimDevolved/tmp: direct link, hf CLI and curl.
- Browser
- Download file 1.5 kB
-
https://huggingface.co/JayKimDevolved/tmp/resolve/main/tmp86qnc9pv/__pycache__/_remote_module_non_scriptable.cpython-310.pyc
- Command line
-
hf download hf://JayKimDevolved/tmp/tmp86qnc9pv/__pycache__/_remote_module_non_scriptable.cpython-310.pyc
-
curl -L -o _remote_module_non_scriptable.cpython-310.pyc https://huggingface.co/JayKimDevolved/tmp/resolve/main/tmp86qnc9pv/__pycache__/_remote_module_non_scriptable.cpython-310.pyc
1.5 kB
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