runtime error

Exit code: 1. Reason: 00:00<?, ?B/s] vocos.yaml: 100%|██████████| 460/460 [00:00<00:00, 4.50MB/s] WARNING:ChatTTS.utils.gpu_utils:No GPU found, use CPU instead INFO:ChatTTS.core:use cpu INFO:ChatTTS.core:vocos loaded. INFO:ChatTTS.core:dvae loaded. INFO:ChatTTS.core:gpt loaded. INFO:ChatTTS.core:decoder loaded. Traceback (most recent call last): File "/home/user/app/app.py", line 14, in <module> chat.load_models() File "/home/user/app/ChatTTS/core.py", line 55, in load_models self._load(**{k: os.path.join(download_path, v) for k, v in OmegaConf.load(os.path.join(download_path, 'config', 'path.yaml')).items()}) File "/home/user/app/ChatTTS/core.py", line 109, in _load tokenizer = torch.load(tokenizer_path, map_location='cpu') File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 1470, in load raise pickle.UnpicklingError(_get_wo_message(str(e))) from None _pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint. (1) In PyTorch 2.6, we changed the default value of the `weights_only` argument in `torch.load` from `False` to `True`. Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source. (2) Alternatively, to load with `weights_only=True` please check the recommended steps in the following error message. WeightsUnpickler error: Unsupported global: GLOBAL transformers.models.bert.tokenization_bert_fast.BertTokenizerFast was not an allowed global by default. Please use `torch.serialization.add_safe_globals([BertTokenizerFast])` or the `torch.serialization.safe_globals([BertTokenizerFast])` context manager to allowlist this global if you trust this class/function. Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.

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