SEQ_CLS = "SEQ_CLS"
SEQ_2_SEQ_LM = "SEQ_2_SEQ_LM"
CAUSAL_LM = "CAUSAL_LM"
TOKEN_CLS = "TOKEN_CLS"
QUESTION_ANS = "QUESTION_ANS"
FEATURE_EXTRACTION = "FEATURE_EXTRACTION"
Overview of the supported task types:
- SEQ_CLS: Text classification.
- SEQ_2_SEQ_LM: Sequence-to-sequence language modeling.
- Causal LM: Causal language modeling.
- TOKEN_CLS: Token classification.
- QUESTION_ANS: Question answering.
- FEATURE_EXTRACTION: Feature extraction. Provides the hidden states which can be used as embeddings or features
for downstream tasks.
See here for source: peft/src/peft/utils/peft_types.py at v0.8.2 · huggingface/peft · GitHub