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Upload numind_NuMarkdown-8B-Thinking_0.txt with huggingface_hub

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- Everything was good in numind_NuMarkdown-8B-Thinking_0.txt
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ```CODE:
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+ # Use a pipeline as a high-level helper
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+ from transformers import pipeline
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+
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+ pipe = pipeline("image-to-text", model="numind/NuMarkdown-8B-Thinking")
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+ ```
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+
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+ ERROR:
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+ Traceback (most recent call last):
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+ File "/tmp/numind_NuMarkdown-8B-Thinking_0pl9aA5.py", line 26, in <module>
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+ pipe = pipeline("image-to-text", model="numind/NuMarkdown-8B-Thinking")
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+ File "/tmp/.cache/uv/environments-v2/f1ff6fde18fc9a6f/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 777, in pipeline
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+ normalized_task, targeted_task, task_options = check_task(task)
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+ ~~~~~~~~~~^^^^^^
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+ File "/tmp/.cache/uv/environments-v2/f1ff6fde18fc9a6f/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 381, in check_task
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+ return PIPELINE_REGISTRY.check_task(task)
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+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^
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+ File "/tmp/.cache/uv/environments-v2/f1ff6fde18fc9a6f/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1356, in check_task
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+ raise KeyError(
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+ f"Unknown task {task}, available tasks are {self.get_supported_tasks() + ['translation_XX_to_YY']}"
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+ )
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+ KeyError: "Unknown task image-to-text, 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', 'image-to-image', 'keypoint-matching', 'mask-generation', 'ner', 'object-detection', 'question-answering', 'sentiment-analysis', 'table-question-answering', 'text-classification', 'text-generation', 'text-to-audio', 'text-to-speech', 'token-classification', 'video-classification', 'visual-question-answering', 'vqa', 'zero-shot-audio-classification', 'zero-shot-classification', 'zero-shot-image-classification', 'zero-shot-object-detection', 'translation_XX_to_YY']"