| # 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 | |
| - 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 | |