sparse / ms-swift /tests /models /test_mllm.py
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import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
def test_cogvlm():
from swift.llm import infer_main, InferArguments, sft_main, TrainArguments
# infer_main(InferArguments(model='ZhipuAI/cogvlm2-video-llama3-chat'))
sft_main(
TrainArguments(
model='ZhipuAI/cogvlm2-video-llama3-chat',
dataset=['AI-ModelScope/alpaca-gpt4-data-zh#200', 'swift/VideoChatGPT:Generic#200'],
split_dataset_ratio=0.01))
if __name__ == '__main__':
test_cogvlm()