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huggingface--peft/docs/source/package_reference/peft_model.md
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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.

PeftModel

autodoc PeftModel - all

PeftModelForSequenceClassification

A PeftModel for sequence classification tasks.

autodoc PeftModelForSequenceClassification - all

PeftModelForTokenClassification

A PeftModel for token classification tasks.

autodoc PeftModelForTokenClassification - all

PeftModelForCausalLM

A PeftModel for causal language modeling.

autodoc PeftModelForCausalLM - all

PeftModelForSeq2SeqLM

A PeftModel for sequence-to-sequence language modeling.

autodoc PeftModelForSeq2SeqLM - all

PeftModelForQuestionAnswering

A PeftModel for question answering.

autodoc PeftModelForQuestionAnswering - all

PeftModelForFeatureExtraction

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

autodoc PeftModelForFeatureExtraction - all

PeftMixedModel

A PeftModel for mixing different adapter types (e.g. LoRA and LoHa).

autodoc PeftMixedModel - all

Utilities

autodoc utils.cast_mixed_precision_params

autodoc get_peft_model

autodoc inject_adapter_in_model

autodoc utils.get_peft_model_state_dict

autodoc utils.prepare_model_for_kbit_training

autodoc get_layer_status

autodoc get_model_status

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