runtime error

Exit code: 1. Reason: No sentence-transformers model found with name sentence-transformers/all-MiniLM-L6-v2. Creating a new one with mean pooling. config.json: 0%| | 0.00/612 [00:00<?, ?B/s] config.json: 100%|██████████| 612/612 [00:00<00:00, 4.26MB/s] pytorch_model.bin: 0%| | 0.00/90.9M [00:00<?, ?B/s] pytorch_model.bin: 100%|██████████| 90.9M/90.9M [00:01<00:00, 64.5MB/s] pytorch_model.bin: 100%|██████████| 90.9M/90.9M [00:01<00:00, 64.4MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 41, in <module> exec(decrypted.decode()) File "<string>", line 199, in <module> File "/usr/local/lib/python3.10/site-packages/sentence_transformers/SentenceTransformer.py", line 321, in __init__ modules = self._load_auto_model( File "/usr/local/lib/python3.10/site-packages/sentence_transformers/SentenceTransformer.py", line 1606, in _load_auto_model transformer_model = Transformer( File "/usr/local/lib/python3.10/site-packages/sentence_transformers/models/Transformer.py", line 85, in __init__ self.tokenizer = AutoTokenizer.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 1028, in from_pretrained return tokenizer_class_fast.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2046, in from_pretrained raise EnvironmentError( OSError: Can't load tokenizer for 'sentence-transformers/all-MiniLM-L6-v2'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'sentence-transformers/all-MiniLM-L6-v2' is the correct path to a directory containing all relevant files for a BertTokenizerFast tokenizer.

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