importtorchimporthuggingface_hubimporttimmmodel=timm.create_model('vit_large_patch14_clip_336',num_classes=768)url="https://openaipublic.azureedge.net/clip/models/3035c92b350959924f9f00213499208652fc7ea050643e8b385c2dac08641f02/ViT-L-14-336px.pt"state_dict=torch.hub.load_state_dict_from_url...
Huggingface'stransformerslibrary is a great resource for natural language processing tasks, and it includes an implementation of OpenAI'sCLIP modelincluding a pretrained modelclip-vit-large-patch14. The CLIP model is a powerful image and text embedding model that can be used...
Add 'EVA l' to vision_transformer.py, MAE style ViT-L/14 MIM pretrain w/ EVA-CLIP targets, FT on ImageNet-1k (w/ ImageNet-22k intermediate for some) original source: https://github.com/baaivision/EVA modeltop1param_countgmacmactshub eva_large_patch14_336.in22k_ft_in22k_in1k ...
详细版—LLaVA模型在服务器上部署和启动的过程! 模型网址如下: LLaVA:https://github.com/haotian-liu/LLaVA vit模型:https://huggingface.co/openai/clip-vi - CC于20240220发布在抖音,已经收获了8348个喜欢,来抖音,记录美好生活!
针对您遇到的 OSError: can't load tokenizer for 'openai/clip-vit-large-patch14' 错误,我们可以根据提供的提示进行逐步排查和解决。以下是详细的步骤和建议: 1. 检查本地目录 首先,确保您的本地工作环境中不存在名为 openai/clip-vit-large-patch14 的目录。这个目录可能与尝试从 Hugging Face 模型库加载的...
eva02_large_patch14_448.mim_m38m_ft_in1k 89.57 98.918 305.08 448 eva_giant_patch14_336.m30m_ft_in22k_in1k 89.56 98.956 1013.01 336 eva_giant_patch14_336.clip_ft_in1k 89.466 98.82 1013.01 336 eva_large_patch14_336.in22k_ft_in22k_in1k 89.214 98.854 304.53 336 eva_giant_patch14_224...
1 BAAI / Bunny 一组轻量级的多模态模型 License: License: apache-2.0 加入合集 下载代码仓库 Bunny is a family of lightweight but powerful multimodal models. It offers multiple plug-and-play vision encoders, like EVA-CLIP, SigLIP and language backbones, including Phi-1.5, StableLM-2, Qwen1.5...
vit_large_patch14_clip_336.laion2b_ft_in12k_in1k 88.2 304.5 191.1 270.2 link vit_large_patch14_clip_224.openai_ft_in12k_in1k 88.2 304.2 81.1 88.8 link vit_large_patch14_clip_224.laion2b_ft_in12k_in1k 87.9 304.2 81.1 88.8 link vit_large_patch14_clip_224.openai_ft_in1k 87.9 304.2...
vision_tower_name = "openai/clip-vit-large-patch14-336" vision_tower = CLIPVisionTower(vision_tower_name).to(device) clip_image_processor = CLIPImageProcessor.from_pretrained(vision_tower_name) model = Showo(**config.model.showo).to(device) state_dict = torch.load(config.pretrained_model_...
processor = AutoProcessor.from_pretrained("openai/clip-vit-large-patch14-336") onnx_path = Path("tmp_onnx/model.onnx") onnx_inputs, onnx_outputs = export(processor.image_processor, model, onnx_config, onnx_config.default_onnx_opset, onnx_path) ...