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OpenGVLab
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InternVideo2_5_Chat_8B

Video-Text-to-Text
Transformers
Safetensors
English
internvl_chat
feature-extraction
multimodal
custom_code
Eval Results (legacy)
Model card Files
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Update README.md

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@@ -107,7 +107,7 @@ Then you could use our model:
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  from transformers import AutoModel, AutoTokenizer
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  # model setting
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- model_path = 'OpenGVLab/InternVideo2.5'
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  tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
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  model = AutoModel.from_pretrained(model_path, trust_remote_code=True).half().cuda()
 
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  from transformers import AutoModel, AutoTokenizer
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  # model setting
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+ model_path = 'OpenGVLab/InternVideo2_5_Chat_8B'
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  tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
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  model = AutoModel.from_pretrained(model_path, trust_remote_code=True).half().cuda()