YJYlala

can u show us where we can find the training dataset? tks

关于internvl如何在langchain框架下的使用

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您好 我想在langchian框架下 使用internvl 来完成对话 以及memory的记忆 path = "OpenGVLab/InternVL-Chat-Chinese-V1-1" model = AutoModel.from_pretrained( path, torch_dtype=torch.bfloat16, low_cpu_mem_usage=True, trust_remote_code=True, cache_dir = "/project/ASD/jingyou_llm/model_cache", ).eval().cuda() tokenizer = AutoTokenizer.from_pretrained(path) pipe = pipeline( "visual-question-answering", model=model, tokenizer=tokenizer, max_length=100, )...

project_joints --imgFolder demo/images/train --loadPrecomputed demo/Cam/train_Cam \ --modeltype SMPLX --kid_template_path utils/smplx_kid_template.npy --modelFolder demo/model \ --gt_model_path demo/GT_fits/ --imgWidth 1280 --imgHeight 720

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when i run the command: ``` project_joints --imgFolder demo/images/train --loadPrecomputed demo/Cam/train_Cam \ --modeltype SMPLX --kid_template_path utils/smplx_kid_template.npy --modelFolder demo/model \ --gt_model_path demo/GT_fits/ --imgWidth 1280 --imgHeight 720 ``` it will show the...