LocalAI/backend/python
Ettore Di Giacinto 949da7792d
deps(conda): use transformers-env with vllm,exllama(2) (#1554)
* deps(conda): use transformers with vllm

* join vllm, exllama, exllama2, split petals
2024-01-06 13:32:28 +01:00
..
autogptq feat(diffusers): update, add autopipeline, controlnet (#1432) 2023-12-13 19:20:22 +01:00
bark feat(conda): share envs with transformer-based backends (#1465) 2023-12-21 08:35:15 +01:00
common-env/transformers deps(conda): use transformers-env with vllm,exllama(2) (#1554) 2024-01-06 13:32:28 +01:00
coqui feat: add 🐸 coqui (#1489) 2023-12-24 19:38:54 +01:00
diffusers fix(diffusers): add omegaconf dependency (#1540) 2024-01-04 00:06:41 +01:00
exllama deps(conda): use transformers-env with vllm,exllama(2) (#1554) 2024-01-06 13:32:28 +01:00
exllama2 deps(conda): use transformers-env with vllm,exllama(2) (#1554) 2024-01-06 13:32:28 +01:00
petals deps(conda): use transformers-env with vllm,exllama(2) (#1554) 2024-01-06 13:32:28 +01:00
sentencetransformers feat(conda): share envs with transformer-based backends (#1465) 2023-12-21 08:35:15 +01:00
transformers feat(conda): share envs with transformer-based backends (#1465) 2023-12-21 08:35:15 +01:00
transformers-musicgen feat(conda): share envs with transformer-based backends (#1465) 2023-12-21 08:35:15 +01:00
vall-e-x fix(entrypoint): cd to backend dir before start (#1530) 2024-01-01 22:02:48 +01:00
vllm deps(conda): use transformers-env with vllm,exllama(2) (#1554) 2024-01-06 13:32:28 +01:00
README.md refactor: move backends into the backends directory (#1279) 2023-11-13 22:40:16 +01:00

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>