tencent/Youtu-Parsing-Omni开源了新模型
根据官方来源,tencent/Youtu-Parsing-Omni开源了新模型。详细信息请以原始来源为准。
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Tencent tencent/Youtu-Parsing-Omni tencent/Youtu-Parsing-Omni https://huggingface.co/tencent/Youtu-Parsing-Omni
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tencent/Youtu-Parsing-Omni · Hugging Face Hugging Face (https://huggingface.co/) Models (https://huggingface.co/models) Datasets (https://huggingface.co/datasets) Spaces (https://huggingface.co/spaces) Buckets new (https://huggingface.co/storage) Docs (https://huggingface.co/docs) Enterprise (https://huggingface.co/enterprise) Pricing (https://huggingface.co/pricing) Website Tasks (https://huggingface.co/tasks) HuggingChat (https://huggingface.co/chat) Collections (https://huggingface.co/collections) Languages (https://huggingface.co/languages) Organizations (https://huggingface.co/organizations) Community Blog (https://huggingface.co/blog) Posts (https://huggingface.co/posts) Daily Papers (https://huggingface.co/papers) Hardware (https://huggingface.co/hardware) Learn (https://huggingface.co/learn) Discord (https://huggingface.co/join/discord) Forum (https://discuss.huggingface.co/) GitHub (https://github.com/huggingface) Solutions Team & Enterprise (https://huggingface.co/enterprise) Hugging Face PRO (https://huggingface.co/pro) Enterprise Support (https://huggingface.co/support) Inference Providers (https://huggingface.co/inference/models) Inference Endpoints (https://huggingface.co/inference-endpoints) Storage Buckets (https://huggingface.co/storage) Log In (https://huggingface.co/login) Sign Up (https://huggingface.co/join) (https://huggingface.co/tencent) tencent (https://huggingface.co/tencent) / Youtu-Parsing-Omni (https://huggingface.co/tencent/Youtu-Parsing-Omni) Like 105 Follow Tencent 12.6k Image-Text-to-Text (https://huggingface.co/models?pipeline_tag=image-text-to-text) Transformers (https://huggingface.co/models?library=transformers) Safetensors (https://huggingface.co/models?library=safetensors) youtu_vita (https://huggingface.co/models?other=youtu_vita) text-generation (https://huggingface.co/models?other=text-generation) document-parsing (https://huggingface.co/models?other=document-parsing) ocr (https://huggingface.co/models?other=ocr) omni (https://huggingface.co/models?other=omni) multimodal (https://huggingface.co/models?other=multimodal) audio (https://huggingface.co/models?other=audio) video (https://huggingface.co/models?other=video) custom_code (https://huggingface.co/models?other=custom_code) conversational (https://huggingface.co/models?other=conversational) arxiv: 2601.20430 arxiv: 2601.19798 arxiv: 2512.24618 License: youtu-parsing Model card (https://huggingface.co/tencent/Youtu-Parsing-Omni) Files Files and versions xet (https://huggingface.co/tencent/Youtu-Parsing-Omni/tree/main) Community 1 (https://huggingface.co/tencent/Youtu-Parsing-Omni/discussions) Deploy Copy to bucket new Use this model Instructions to use tencent/Youtu-Parsing-Omni with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers (https://huggingface.co/tencent/Youtu-Parsing-Omni?library=transformers) How to use tencent/Youtu-Parsing-Omni with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="tencent/Youtu-Parsing-Omni", trust_remote_code=True) messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages) # pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("tencent/Youtu-Parsing-Omni", trust_remote_code=True, device_map="auto") Notebooks Google Colab (https://huggingface.co/tencent/Youtu-Parsing-Omni/colab) Kaggle (https://huggingface.co/tencent/Youtu-Parsing-Omni/kaggle) Local Apps Settings (https://huggingface.co/settings/local-apps) vLLM (https://huggingface.co/tencent/Youtu-Parsing-Omni?local-app=vllm) How to use tencen
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