| model: | |
| category: LLaMA # model category, chosen from ChatGPT, DeepSeek, LLaMA, Qwen, ChatGLM, MiniCPM, OneKE. | |
| model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct # model name to download from huggingface or use the local model path. | |
| vllm_serve: false # whether to use the vllm. Default set to false. | |
| extraction: | |
| task: NER # task type, chosen from Base, NER, RE, EE. | |
| text: Finally , every other year , ELRA organizes a major conference LREC , the International Language Resources and Evaluation Conference . # input text for the extraction task. No need if use_file is set to true. | |
| constraint: ["algorithm", "conference", "else", "product", "task", "field", "metrics", "organization", "researcher", "program language", "country", "location", "person", "university"] # Specified entity types for the named entity recognition task. Default set to empty. | |
| use_file: false # whether to use a file for the input text. | |
| mode: quick # extraction mode, chosen from quick, detailed, customized. Default set to quick. See src/config.yaml for more details. | |
| update_case: false # whether to update the case repository. Default set to false. | |
| show_trajectory: false # whether to display the extracted intermediate steps | |