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* Update huggingface.py Switch SentenceTransformer for AutoModel in order to set trust_remote_code needed to use the encode method with embeddings models like jinai-v2 Signed-off-by: Lucas Hänke de Cansino <lhc@next-boss.eu> * feat(transformers): split in separate backend Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Lucas Hänke de Cansino <lhc@next-boss.eu> Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Lucas Hänke de Cansino <lhc@next-boss.eu> |
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autogptq | ||
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diffusers | ||
exllama | ||
sentencetransformers | ||
transformers | ||
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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>