runtime error

Exit code: 1. Reason: rimental with seq2seq models. The results will not necessarily be entirely accurate and will have caveats. More information: https://github.com/huggingface/transformers/pull/20104. Ignore this warning with pipeline(..., ignore_warning=True). To use Whisper for long-form transcription, use rather the model's `generate` method directly as the model relies on it's own chunking mechanism (cf. Whisper original paper, section 3.8. Long-form Transcription). config.json: 0.00B [00:00, ?B/s] config.json: 1.80kB [00:00, 9.92MB/s] Traceback (most recent call last): File "/app/app.py", line 47, in <module> summarizer = pipeline( "summarization", model=summarizer_model_id, device=device ) 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 summarization, 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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