runtime error

Exit code: 1. Reason: d faster downloads. tokenizer_config.json: 0.00B [00:00, ?B/s] tokenizer_config.json: 39.9kB [00:00, 53.8MB/s] sentencepiece.bpe.model: 0%| | 0.00/4.85M [00:00<?, ?B/s] sentencepiece.bpe.model: 100%|██████████| 4.85M/4.85M [00:00<00:00, 6.61MB/s] tokenizer.json: 0%| | 0.00/32.2M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 32.2M/32.2M [00:00<00:00, 78.9MB/s] special_tokens_map.json: 0.00B [00:00, ?B/s] special_tokens_map.json: 4.23kB [00:00, 11.5MB/s] Traceback (most recent call last): File "/app/app.py", line 12, in <module> translator = pipeline( "translation", model=model_id, device_map="auto" ) File "/usr/local/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 747, in pipeline normalized_task, targeted_task, task_options = check_task(task) ~~~~~~~~~~^^^^^^ File "/usr/local/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 355, in check_task return PIPELINE_REGISTRY.check_task(task) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^ File "/usr/local/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1338, in check_task raise KeyError(f"Unknown task {task}, available tasks are {self.get_supported_tasks()}") KeyError: "Unknown task translation, available tasks are ['any-to-any', 'audio-classification', 'automatic-speech-recognition', 'depth-estimation', 'document-question-answering', 'feature-extraction', 'fill-mask', 'image-classification', 'image-feature-extraction', 'image-segmentation', 'image-text-to-text', 'keypoint-matching', 'mask-generation', 'ner', 'object-detection', 'sentiment-analysis', 'table-question-answering', 'text-classification', 'text-generation', 'text-to-audio', 'text-to-speech', 'token-classification', 'video-classification', 'zero-shot-audio-classification', 'zero-shot-classification', 'zero-shot-image-classification', 'zero-shot-object-detection']"

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