peft/pr_3219/en/package_reference/auto_class.md

# AutoPeftModels

The `AutoPeftModel` classes loads the appropriate PEFT model for the task type by automatically inferring it from the configuration file. They are designed to quickly and easily load a PEFT model in a single line of code without having to worry about which exact model class you need or manually loading a [PeftConfig](/docs/peft/pr_3219/en/package_reference/config#peft.PeftConfig).

## AutoPeftModel[[peft.AutoPeftModel]]

- **import_allowlist** (`list[str]`, *optional*, defaults to `{get_default_import_allowlist()}`) --
  AutoPeftModel will attempt to instantiate the base model that is configured in the adapter config.
  Since this operation needs to potentially import other packages, this allowlist is a safe-guard to
  prevent importing malicious packages. You may need to specify your package's import name here if it is
  not in the defaults.

A wrapper around all the preprocessing steps a user needs to perform in order to load a PEFT model. The kwargs
are passed along to `PeftConfig` that automatically takes care of filtering the kwargs of the Hub methods and
the config object init.

The parameters are equivalent to the ones of [PeftModel.from_pretrained()](/docs/peft/pr_3219/en/package_reference/peft_model#peft.PeftModel.from_pretrained). Differences are documented below.

## AutoPeftModelForCausalLM[[peft.AutoPeftModelForCausalLM]]

## AutoPeftModelForSeq2SeqLM[[peft.AutoPeftModelForSeq2SeqLM]]

## AutoPeftModelForSequenceClassification[[peft.AutoPeftModelForSequenceClassification]]

## AutoPeftModelForTokenClassification[[peft.AutoPeftModelForTokenClassification]]

## AutoPeftModelForQuestionAnswering[[peft.AutoPeftModelForQuestionAnswering]]

## AutoPeftModelForFeatureExtraction[[peft.AutoPeftModelForFeatureExtraction]]