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* fix typos in idefics.md Two typos found in reviewing this documentation. 1) max_new_tokens=4, is not sufficient to generate "Vegetables" as indicated - you will get only "Veget". (incidentally - some mention of how to select this value might be useful as it seems to change in each example) 2) inputs = processor(prompts, return_tensors="pt").to(device) as inputs need to be on the same device (as they are in all other examples on the page) * Update idefics.md Change device to cuda explicitly to match other examples |
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| .. | ||
| asr.md | ||
| audio_classification.md | ||
| document_question_answering.md | ||
| idefics.md | ||
| image_captioning.md | ||
| image_classification.md | ||
| language_modeling.md | ||
| masked_language_modeling.md | ||
| monocular_depth_estimation.md | ||
| multiple_choice.md | ||
| object_detection.md | ||
| question_answering.md | ||
| semantic_segmentation.md | ||
| sequence_classification.md | ||
| summarization.md | ||
| text-to-speech.md | ||
| token_classification.md | ||
| translation.md | ||
| video_classification.md | ||
| visual_question_answering.md | ||
| zero_shot_image_classification.md | ||
| zero_shot_object_detection.md | ||