working/peft/docs/source/package_reference/peft_model.md

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