# 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/main/en/package_reference/config#peft.PeftConfig).

## AutoPeftModel[[peft.AutoPeftModel]]

#### peft.AutoPeftModel[[peft.AutoPeftModel]]

[Source](https://github.com/huggingface/peft/blob/main/src/peft/auto.py#L193)

from_pretrainedpeft.AutoPeftModel.from_pretrainedhttps://github.com/huggingface/peft/blob/main/src/peft/auto.py#L88[{"name": "pretrained_model_name_or_path", "val": ""}, {"name": "adapter_name", "val": ": str = 'default'"}, {"name": "is_trainable", "val": ": bool = False"}, {"name": "config", "val": ": Optional[PeftConfig] = None"}, {"name": "revision", "val": ": Optional[str] = None"}, {"name": "import_allowlist", "val": ": Optional[list[str]] = None"}, {"name": "**kwargs", "val": ""}]- **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.0

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/main/en/package_reference/peft_model#peft.PeftModel.from_pretrained). Differences are documented below.

**Parameters:**

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.

## AutoPeftModelForCausalLM[[peft.AutoPeftModelForCausalLM]]

#### peft.AutoPeftModelForCausalLM[[peft.AutoPeftModelForCausalLM]]

[Source](https://github.com/huggingface/peft/blob/main/src/peft/auto.py#L198)

## AutoPeftModelForSeq2SeqLM[[peft.AutoPeftModelForSeq2SeqLM]]

#### peft.AutoPeftModelForSeq2SeqLM[[peft.AutoPeftModelForSeq2SeqLM]]

[Source](https://github.com/huggingface/peft/blob/main/src/peft/auto.py#L203)

## AutoPeftModelForSequenceClassification[[peft.AutoPeftModelForSequenceClassification]]

#### peft.AutoPeftModelForSequenceClassification[[peft.AutoPeftModelForSequenceClassification]]

[Source](https://github.com/huggingface/peft/blob/main/src/peft/auto.py#L208)

## AutoPeftModelForTokenClassification[[peft.AutoPeftModelForTokenClassification]]

#### peft.AutoPeftModelForTokenClassification[[peft.AutoPeftModelForTokenClassification]]

[Source](https://github.com/huggingface/peft/blob/main/src/peft/auto.py#L213)

## AutoPeftModelForQuestionAnswering[[peft.AutoPeftModelForQuestionAnswering]]

#### peft.AutoPeftModelForQuestionAnswering[[peft.AutoPeftModelForQuestionAnswering]]

[Source](https://github.com/huggingface/peft/blob/main/src/peft/auto.py#L218)

## AutoPeftModelForFeatureExtraction[[peft.AutoPeftModelForFeatureExtraction]]

#### peft.AutoPeftModelForFeatureExtraction[[peft.AutoPeftModelForFeatureExtraction]]

[Source](https://github.com/huggingface/peft/blob/main/src/peft/auto.py#L223)