runtime error

Exit code: 1. Reason: g weights: 100%|██████████| 199/199 [00:00<00:00, 5899.58it/s] XLMRobertaForTokenClassification LOAD REPORT from: Davlan/xlm-roberta-base-ner-hrl Key | Status | | --------------------------------+------------+--+- roberta.embeddings.position_ids | UNEXPECTED | | Notes: - UNEXPECTED: can be ignored when loading from different task/architecture; not ok if you expect identical arch. Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. tokenizer_config.json: 0%| | 0.00/211 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 211/211 [00:00<00:00, 1.21MB/s] sentencepiece.bpe.model: 0%| | 0.00/5.07M [00:00<?, ?B/s] sentencepiece.bpe.model: 100%|██████████| 5.07M/5.07M [00:00<00:00, 12.1MB/s] special_tokens_map.json: 0%| | 0.00/150 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 150/150 [00:00<00:00, 1.14MB/s] Traceback (most recent call last): File "/app/app.py", line 5, in <module> ner = pipeline("ner", model="Davlan/xlm-roberta-base-ner-hrl", grouped_entities=True) File "/usr/local/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 998, in pipeline return pipeline_class(model=model, task=task, **kwargs) File "/usr/local/lib/python3.13/site-packages/transformers/pipelines/token_classification.py", line 137, in __init__ super().__init__(**kwargs) ~~~~~~~~~~~~~~~~^^^^^^^^^^ File "/usr/local/lib/python3.13/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'

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