runtime error

Exit code: 1. Reason: �� | 1.19G/1.33G [00:06<00:00, 309MB/s] pytorch_model.bin: 100%|██████████| 1.33G/1.33G [00:07<00:00, 187MB/s] model.safetensors: 0%| | 0.00/1.33G [00:00<?, ?B/s] Loading weights: 0%| | 0/391 [00:00<?, ?it/s] Loading weights: 100%|██████████| 391/391 [00:00<00:00, 27452.30it/s] BertForTokenClassification LOAD REPORT from: abhibisht89/spanbert-large-cased-finetuned-ade_corpus_v2 Key | Status | | -----------------------------+------------+--+- bert.embeddings.position_ids | UNEXPECTED | | Notes: - UNEXPECTED: can be ignored when loading from different task/architecture; not ok if you expect identical arch. Traceback (most recent call last): File "/home/user/app/app.py", line 9, in <module> adr_ner_model = pipeline(task="ner", model=model, tokenizer=tokenizer, grouped_entities=True) File "/usr/local/lib/python3.10/site-packages/transformers/pipelines/__init__.py", line 998, in pipeline return pipeline_class(model=model, task=task, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/pipelines/token_classification.py", line 137, in __init__ super().__init__(**kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/pipelines/base.py", line 914, in __init__ self._preprocess_params, self._forward_params, self._postprocess_params = self._sanitize_parameters(**kwargs) TypeError: TokenClassificationPipeline._sanitize_parameters() got an unexpected keyword argument 'grouped_entities' model.safetensors: 0%| | 0.00/1.33G [00:01<?, ?B/s] model.safetensors: 0%| | 0.00/1.33G [00:02<?, ?B/s] model.safetensors: 25%|██▌ | 335M/1.33G [00:03<00:03, 280MB/s] model.safetensors: 60%|█████▉ | 793M/1.33G [00:04<00:01, 376MB/s] model.safetensors: 90%|████████▉ | 1.20G/1.33G [00:05<00:00, 388MB/s] model.safetensors: 100%|██████████| 1.33G/1.33G [00:06<00:00, 214MB/s]

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