Introduce a wrapper to create SparseAutoModelForCausalLM.from_pretrained
#2010
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rahul-tuli
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Co-authored-by: Rahul Tuli <rahul@neuralmagic.com>
Co-authored-by: Rahul Tuli <rahul@neuralmagic.com>
…ic/sparseml into feature/damian/sparseautomodel
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…ined` (#2010) * initial commit * private functions in the bottom of the script * typo * typo2 * add support for downloading recipe from hf directly * Update src/sparseml/transformers/utils/helpers.py Co-authored-by: Rahul Tuli <rahul@neuralmagic.com> * Update src/sparseml/transformers/utils/helpers.py Co-authored-by: Rahul Tuli <rahul@neuralmagic.com> * add sparsezoo model support * make resolve recipe function more bulletproof * fix tests * address PR comments * thorough refactor of the resolve_recipe logic * Update src/sparseml/transformers/utils/helpers.py --------- Co-authored-by: Rahul Tuli <rahul@neuralmagic.com>
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…ined` (#2010) * initial commit * private functions in the bottom of the script * typo * typo2 * add support for downloading recipe from hf directly * Update src/sparseml/transformers/utils/helpers.py Co-authored-by: Rahul Tuli <rahul@neuralmagic.com> * Update src/sparseml/transformers/utils/helpers.py Co-authored-by: Rahul Tuli <rahul@neuralmagic.com> * add sparsezoo model support * make resolve recipe function more bulletproof * fix tests * address PR comments * thorough refactor of the resolve_recipe logic * Update src/sparseml/transformers/utils/helpers.py --------- Co-authored-by: Rahul Tuli <rahul@neuralmagic.com>
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Adding
SparseAutoModelto augmenttransformers.AutoModelThe most important feature is the refactor of
resolve_recipefunction, that is more thorough and robust.