LocalAI/backend/python/petals/install.sh

#!/bin/bash

export PATH=$PATH:/opt/conda/bin

conda env create --name petals --file $1
feat(intel): add diffusers/transformers support (#1746) * feat(intel): add diffusers support * try to consume upstream container image * Debug * Manually install deps * Map transformers/hf cache dir to modelpath if not specified * fix(compel): update initialization, pass by all gRPC options * fix: add dependencies, implement transformers for xpu * base it from the oneapi image * Add pillow * set threads if specified when launching the API * Skip conda install if intel * defaults to non-intel * ci: add to pipelines * prepare compel only if enabled * Skip conda install if intel * fix cleanup * Disable compel by default * Install torch 2.1.0 with Intel * Skip conda on some setups * Detect python * Quiet output * Do not override system python with conda * Prefer python3 * Fixups * exllama2: do not install without conda (overrides pytorch version) * exllama/exllama2: do not install if not using cuda * Add missing dataset dependency * Small fixups, symlink to python, add requirements * Add neural_speed to the deps * correctly handle model offloading * fix: device_map == xpu * go back at calling python, fixed at dockerfile level * Exllama2 restricted to only nvidia gpus * Tokenizer to xpu 2024-03-07 13:37:45 +00:00			`#!/bin/bash`

			`export PATH=$PATH:/opt/conda/bin`

			`conda env create --name petals --file $1`