Download MedEvalKit/models/base_llm.py from Master-Shi/ExplainableVQA: direct link, hf CLI and curl.
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- Download file 317 Bytes
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https://huggingface.co/datasets/Master-Shi/ExplainableVQA/resolve/main/MedEvalKit/models/base_llm.py
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hf download hf://datasets/Master-Shi/ExplainableVQA/MedEvalKit/models/base_llm.py
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curl -L -o base_llm.py https://huggingface.co/datasets/Master-Shi/ExplainableVQA/resolve/main/MedEvalKit/models/base_llm.py
317 Bytes
| from abc import abstractmethod | |
| class BaseLLM: | |
| def __init__(self): | |
| pass | |
| def process_messages(self,messages): | |
| pass | |
| def generate_output(self,messages): | |
| pass | |
| def generate_outputs(self,messages_list): | |
| pass | |