Delete demo.py to avoid wrong usage.

demo.py

@@ -1,83 +0,0 @@
-# Copyright (c) Alibaba Cloud.
-#
-# This source code is licensed under the license found in the
-# LICENSE file in the root directory of this source tree.
-
-import torch
-import argparse
-from transformers import AutoModelForCausalLM, AutoTokenizer
-from transformers.trainer_utils import set_seed
-
-
-def _load_model_tokenizer(args):
-    tokenizer = AutoTokenizer.from_pretrained(
-        args.checkpoint_path, trust_remote_code=True,
-    )
-    print("load tokenizer")
-
-    if args.cpu_only:
-        device_map = "cpu"
-        max_memory = None
-    else:
-        device_map = "auto"
-        max_memory_str = f"{int(torch.cuda.mem_get_info()[0] / 1024 ** 3) - 2}GB"
-        n_gpus = torch.cuda.device_count()
-        max_memory = {i: max_memory_str for i in range(n_gpus)}
-
-    model = AutoModelForCausalLM.from_pretrained(
-        args.checkpoint_path,
-        device_map=device_map,
-        max_memory=max_memory,
-        trust_remote_code=True,
-    ).eval()
-
-    return model, tokenizer
-
-
-def demo_qwen_pretrain(args):
-    model, tokenizer = _load_model_tokenizer(args)
-    inputs = tokenizer(
-        "蒙古国的首都是乌兰巴托（Ulaanbaatar）\n冰岛的首都是雷克雅未克（Reykjavik）\n埃塞俄比亚的首都是",
-        return_tensors="pt",
-    )
-    inputs = inputs.to(model.device)
-    pred = model.generate(inputs=inputs["input_ids"])
-    print(tokenizer.decode(pred.cpu()[0], skip_special_tokens=True))
-
-
-def demo_qwen_chat(args):
-    model, tokenizer = _load_model_tokenizer(args)
-    queries = [
-        "请问把大象关冰箱总共要几步？",
-        "1+3=?",
-        "请将下面这句话翻译为英文：在哪里跌倒就在哪里趴着",
-    ]
-    history = None
-    for turn_idx, query in enumerate(queries, start=1):
-        response, history = model.chat(
-            tokenizer,
-            query,
-            history=history,
-        )
-        print(f"===== Turn {turn_idx} ====")
-        print("Query:", query, end="\n")
-        print("Response:", response, end="\n")
-
-
-def main():
-    parser = argparse.ArgumentParser(description="Test HF checkpoint.")
-    parser.add_argument("-c", "--checkpoint-path", type=str, help="Checkpoint path")
-    parser.add_argument("-s", "--seed", type=int, default=1234, help="Random seed")
-    parser.add_argument("--cpu-only", action="store_true", help="Run demo with CPU only")
-
-    args = parser.parse_args()
-    set_seed(args.seed)
-
-    if "chat" in args.checkpoint_path.lower():
-        demo_qwen_chat(args)
-    else:
-        demo_qwen_pretrain(args)
-
-
-if __name__ == "__main__":
-    main()