HFValidationError: Repo id must be in the form ‘repo_name‘ or ‘namespace/repo_name‘: ‘/root/vicuna-7
大家好
本文主要介绍HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/root/vicuna-7b-fastchat'. Use `repo_type` argument if needed.分析和解决，希望能够有所帮助。
问题描述：在测试vicuna-7b模型，推理时报错HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/root/vicuna-7b-fastchat'. Use `repo_type` argument if needed
具体错误
分析：没有找到模型
解决：修改模型路径，我的是模型名称输错了，请仔细核对模型路径
报错提醒：
╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ /root/.local/conda/envs/fastchat/lib/python3.9/runpy.py:197 in _run_module_as_main │
│ │
│ 194 │ main_globals = sys.modules["__main__"].__dict__ │
│ 195 │ if alter_argv: │
│ 196 │ │ sys.argv[0] = mod_spec.origin │
│ ❱ 197 │ return _run_code(code, main_globals, None, │
│ 198 │ │ │ │ │ "__main__", mod_spec) │
│ 199 │
│ 200 def run_module(mod_name, init_globals=None, │
│ │
│ /root/.local/conda/envs/fastchat/lib/python3.9/runpy.py:87 in _run_code │
│ │
│ 84 │ │ │ │ │ __loader__ = loader, │
│ 85 │ │ │ │ │ __package__ = pkg_name, │
│ 86 │ │ │ │ │ __spec__ = mod_spec) │
│ ❱ 87 │ exec(code, run_globals) │
│ 88 │ return run_globals │
│ 89 │
│ 90 def _run_module_code(code, init_globals=None, │
│ │
│ /root/FastChat-main/fastchat/serve/cli.py:239 in <module> │
│ │
│ 236 │ │ help="Print useful debug information (e.g., prompts)", │
│ 237 │ ) │
│ 238 │ args = parser.parse_args() │
│ ❱ 239 │ main(args) │
│ 240 │
│ │
│ /root/FastChat-main/fastchat/serve/cli.py:176 in main │
│ │
│ 173 │ else: │
│ 174 │ │ raise ValueError(f"Invalid style for console: {args.style}") │
│ 175 │ try: │
│ ❱ 176 │ │ chat_loop( │
│ 177 │ │ │ args.model_path, │
│ 178 │ │ │ args.device, │
│ 179 │ │ │ args.num_gpus, │
│ │
│ /root/FastChat-main/fastchat/serve/inference.py:288 in chat_loop │
│ │
│ 285 │ debug: bool, │
│ 286 ): │
│ 287 │ # Model │
│ ❱ 288 │ model, tokenizer = load_model( │
│ 289 │ │ model_path, │
│ 290 │ │ device, │
│ 291 │ │ num_gpus, │
│ │
│ /root/FastChat-main/fastchat/model/model_adapter.py:201 in load_model │
│ │
│ 198 │ │
│ 199 │ # Load model │
│ 200 │ adapter = get_model_adapter(model_path) │
│ ❱ 201 │ model, tokenizer = adapter.load_model(model_path, kwargs) │
│ 202 │ │
│ 203 │ if (device == "cuda" and num_gpus == 1 and not cpu_offloading) or device == "mps": │
│ 204 │ │ model.to(device) │
│ │
│ /root/FastChat-main/fastchat/model/model_adapter.py:345 in load_model │
│ │
│ 342 │ │
│ 343 │ def load_model(self, model_path: str, from_pretrained_kwargs: dict): │
│ 344 │ │ revision = from_pretrained_kwargs.get("revision", "main") │
│ ❱ 345 │ │ tokenizer = AutoTokenizer.from_pretrained( │
│ 346 │ │ │ model_path, use_fast=self.use_fast_tokenizer, revision=revision │
│ 347 │ │ ) │
│ 348 │ │ model = AutoModelForCausalLM.from_pretrained( │
│ │
│ /root/.local/conda/envs/fastchat/lib/python3.9/site-packages/transformers/models/auto/tokenizati │
│ on_auto.py:642 in from_pretrained │
│ │
│ 639 │ │ │ return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *input │
│ 640 │ │ │
│ 641 │ │ # Next, let's try to use the tokenizer_config file to get the tokenizer class. │
│ ❱ 642 │ │ tokenizer_config = get_tokenizer_config(pretrained_model_name_or_path, **kwargs) │
│ 643 │ │ if "_commit_hash" in tokenizer_config: │
│ 644 │ │ │ kwargs["_commit_hash"] = tokenizer_config["_commit_hash"] │
│ 645 │ │ config_tokenizer_class = tokenizer_config.get("tokenizer_class") │
│ │
│ /root/.local/conda/envs/fastchat/lib/python3.9/site-packages/transformers/models/auto/tokenizati │
│ on_auto.py:486 in get_tokenizer_config │
│ │
│ 483 │ tokenizer_config = get_tokenizer_config("tokenizer-test") │
│ 484 │ ```""" │
│ 485 │ commit_hash = kwargs.get("_commit_hash", None) │
│ ❱ 486 │ resolved_config_file = cached_file( │
│ 487 │ │ pretrained_model_name_or_path, │
│ 488 │ │ TOKENIZER_CONFIG_FILE, │
│ 489 │ │ cache_dir=cache_dir, │
│ │
│ /root/.local/conda/envs/fastchat/lib/python3.9/site-packages/transformers/utils/hub.py:409 in │
│ cached_file │
│ │
│ 406 │ user_agent = http_user_agent(user_agent) │
│ 407 │ try: │
│ 408 │ │ # Load from URL or cache if already cached │
│ ❱ 409 │ │ resolved_file = hf_hub_download( │
│ 410 │ │ │ path_or_repo_id, │
│ 411 │ │ │ filename, │
│ 412 │ │ │ subfolder=None if len(subfolder) == 0 else subfolder, │
│ │
│ /root/.local/conda/envs/fastchat/lib/python3.9/site-packages/huggingface_hub/utils/_validators.p │
│ y:110 in _inner_fn │
│ │
│ 107 │ │ │ kwargs.items(), # Kwargs values │
│ 108 │ │ ): │
│ 109 │ │ │ if arg_name in ["repo_id", "from_id", "to_id"]: │
│ ❱ 110 │ │ │ │ validate_repo_id(arg_value) │
│ 111 │ │ │ │
│ 112 │ │ │ elif arg_name == "token" and arg_value is not None: │
│ 113 │ │ │ │ has_token = True │
│ │
│ /root/.local/conda/envs/fastchat/lib/python3.9/site-packages/huggingface_hub/utils/_validators.p │
│ y:158 in validate_repo_id │
│ │
│ 155 │ │ raise HFValidationError(f"Repo id must be a string, not {type(repo_id)}: '{repo_ │
│ 156 │ │
│ 157 │ if repo_id.count("/") > 1: │
│ ❱ 158 │ │ raise HFValidationError( │
│ 159 │ │ │ "Repo id must be in the form 'repo_name' or 'namespace/repo_name':" │
│ 160 │ │ │ f" '{repo_id}'. Use `repo_type` argument if needed." │
│ 161 │ │ ) │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/root/vicuna-7b-fastchat'. Use
`repo_type` argument if needed.
旨在为数千万中国开发者提供一个无缝且高效的云端环境，以支持学习、使用和贡献开源项目。
更多推荐
5
0- 0
已为社区贡献3条内容
所有评论(0)