Download examples/eval/eval_url/demo.py from BBBBCHAN/StreamDelta: direct link, hf CLI and curl.
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https://huggingface.co/datasets/BBBBCHAN/StreamDelta/resolve/main/examples/eval/eval_url/demo.py
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hf download hf://datasets/BBBBCHAN/StreamDelta/examples/eval/eval_url/demo.py
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curl -L -o demo.py https://huggingface.co/datasets/BBBBCHAN/StreamDelta/resolve/main/examples/eval/eval_url/demo.py
681 Bytes
| # Copyright (c) Alibaba, Inc. and its affiliates. | |
| import os | |
| os.environ['CUDA_VISIBLE_DEVICES'] = '0' | |
| if __name__ == '__main__': | |
| from swift.llm import EvalArguments, eval_main, run_deploy, DeployArguments | |
| # Here's a runnable demo provided. Use the eval_url method for evaluation. | |
| # In a real scenario, you can simply remove the deployed context. | |
| print(EvalArguments.list_eval_dataset()) | |
| with run_deploy( | |
| DeployArguments(model='Qwen/Qwen2.5-0.5B-Instruct', verbose=False, log_interval=-1, infer_backend='vllm'), | |
| return_url=True) as url: | |
| eval_main(EvalArguments(model='Qwen2.5-0.5B-Instruct', eval_url=url, eval_dataset=['arc'])) | |