runtime error

Exit code: 1. Reason: ?it/s] Loading weights: 100%|██████████| 391/391 [00:00<00:00, 6413.23it/s] BertModel LOAD REPORT from: BAAI/bge-large-en-v1.5 Key | Status | | ------------------------+------------+--+- embeddings.position_ids | UNEXPECTED | | Notes: - UNEXPECTED :can be ignored when loading from different task/architecture; not ok if you expect identical arch. tokenizer_config.json: 0%| | 0.00/366 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 366/366 [00:00<00:00, 2.60MB/s] vocab.txt: 0%| | 0.00/232k [00:00<?, ?B/s] vocab.txt: 100%|██████████| 232k/232k [00:00<00:00, 268MB/s] tokenizer.json: 0%| | 0.00/711k [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 711k/711k [00:00<00:00, 316MB/s] special_tokens_map.json: 0%| | 0.00/125 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 125/125 [00:00<00:00, 594kB/s] Traceback (most recent call last): File "/app/app.py", line 30, in <module> embed_model = SentenceTransformer("BAAI/bge-large-en-v1.5") File "/usr/local/lib/python3.13/site-packages/sentence_transformers/SentenceTransformer.py", line 327, in __init__ modules, self.module_kwargs = self._load_sbert_model( ~~~~~~~~~~~~~~~~~~~~~~^ model_name_or_path, ^^^^^^^^^^^^^^^^^^^ ...<7 lines>... config_kwargs=config_kwargs, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/usr/local/lib/python3.13/site-packages/sentence_transformers/SentenceTransformer.py", line 2323, in _load_sbert_model module = module_class.load( model_name_or_path, ...<11 lines>... backend=self.backend, ) File "/usr/local/lib/python3.13/site-packages/sentence_transformers/models/Module.py", line 157, in load return cls(**config) TypeError: Pooling.__init__() missing 1 required positional argument: 'word_embedding_dimension'

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