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* Use cuda in transformers if available tensorflow probably needs a different check. Signed-off-by: Erich Schubert <kno10@users.noreply.github.com> * feat: expose CUDA at top level Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * tests: add to tests and create workflow for py extra backends * doc: update note on how to use core images --------- Signed-off-by: Erich Schubert <kno10@users.noreply.github.com> Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Erich Schubert <kno10@users.noreply.github.com> |
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| .. | ||
| autogptq | ||
| bark | ||
| diffusers | ||
| exllama | ||
| exllama2 | ||
| petals | ||
| sentencetransformers | ||
| transformers | ||
| transformers-musicgen | ||
| vall-e-x | ||
| vllm | ||
| README.md | ||
Common commands about conda environment
Create a new empty conda environment
conda create --name <env-name> python=<your version> -y
conda create --name autogptq python=3.11 -y
To activate the environment
As of conda 4.4
conda activate autogptq
The conda version older than 4.4
source activate autogptq
Install the packages to your environment
Sometimes you need to install the packages from the conda-forge channel
By using conda
conda install <your-package-name>
conda install -c conda-forge <your package-name>
Or by using pip
pip install <your-package-name>