# Models

[`PeftModel`] is the base model class for specifying the base Transformer model and configuration to apply a PEFT method to. The base `PeftModel` contains methods for loading and saving models from the Hub, and supports the [`PromptEncoder`] for prompt learning.

## PeftModel

[[autodoc]] PeftModel
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## PeftModelForSequenceClassification

A `PeftModel` for sequence classification tasks.

[[autodoc]] PeftModelForSequenceClassification
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## PeftModelForTokenClassification

A `PeftModel` for token classification tasks.

[[autodoc]] PeftModelForTokenClassification
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## PeftModelForCausalLM

A `PeftModel` for causal language modeling.

[[autodoc]] PeftModelForCausalLM
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## PeftModelForSeq2SeqLM

A `PeftModel` for sequence-to-sequence language modeling.

[[autodoc]] PeftModelForSeq2SeqLM
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## PeftModelForQuestionAnswering

A `PeftModel` for question answering.

[[autodoc]] PeftModelForQuestionAnswering
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## PeftModelForFeatureExtraction

A `PeftModel` for getting extracting features/embeddings from transformer models.

[[autodoc]] PeftModelForFeatureExtraction
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