nagayama0706
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Update README.md
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README.md
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@@ -12,9 +12,9 @@ license: apache-2.0
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pipeline_tag: visual-question-answering
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---
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#
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-
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* [CIDAS/clipseg-rd64-refined](https://huggingface.co/CIDAS/clipseg-rd64-refined)
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* [dalle-mini/dalle-mini](https://huggingface.co/dalle-mini/dalle-mini)
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@@ -48,7 +48,7 @@ from transformers import AutoTokenizer
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import transformers
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import torch
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model = "nagayama0706/
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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pipeline_tag: visual-question-answering
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---
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# multimodal_model
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multimodal_model is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [CIDAS/clipseg-rd64-refined](https://huggingface.co/CIDAS/clipseg-rd64-refined)
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* [dalle-mini/dalle-mini](https://huggingface.co/dalle-mini/dalle-mini)
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import transformers
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import torch
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model = "nagayama0706/multimodal_model"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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