Qwen/Qwen-Drive-1.0-4B开源了新模型
根据官方来源,Qwen/Qwen-Drive-1.0-4B开源了新模型。详细信息请以原始来源为准。
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Qwen Qwen/Qwen-Drive-1.0-4B Qwen/Qwen-Drive-1.0-4B https://huggingface.co/Qwen/Qwen-Drive-1.0-4B
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Qwen/Qwen-Drive-1.0-4B · 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/Qwen) Qwen (https://huggingface.co/Qwen) / Qwen-Drive-1.0-4B (https://huggingface.co/Qwen/Qwen-Drive-1.0-4B) like 26 Follow Qwen 102k 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) qwen_drive (https://huggingface.co/models?other=qwen_drive) autonomous-driving (https://huggingface.co/models?other=autonomous-driving) motion-planning (https://huggingface.co/models?other=motion-planning) 3d-perception (https://huggingface.co/models?other=3d-perception) visual-question-answering (https://huggingface.co/models?other=visual-question-answering) qwen (https://huggingface.co/models?other=qwen) conversational (https://huggingface.co/models?other=conversational) arxiv: 2609.00111 License: apache-2.0 Model card (https://huggingface.co/Qwen/Qwen-Drive-1.0-4B) Files Files and versions xet (https://huggingface.co/Qwen/Qwen-Drive-1.0-4B/tree/main) Community 1 (https://huggingface.co/Qwen/Qwen-Drive-1.0-4B/discussions) Deploy Copy to bucket new Use this model Instructions to use Qwen/Qwen-Drive-1.0-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers (https://huggingface.co/Qwen/Qwen-Drive-1.0-4B?library=transformers) How to use Qwen/Qwen-Drive-1.0-4B with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="Qwen/Qwen-Drive-1.0-4B") 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) # Load model directly from transformers import QwenDriveForPlanning model = QwenDriveForPlanning.from_pretrained("Qwen/Qwen-Drive-1.0-4B", device_map="auto") Notebooks Google Colab (https://huggingface.co/Qwen/Qwen-Drive-1.0-4B/colab) Kaggle (https://huggingface.co/Qwen/Qwen-Drive-1.0-4B/kaggle) Local Apps Settings (https://huggingface.co/settings/local-apps) vLLM (https://huggingface.co/Qwen/Qwen-Drive-1.0-4B?local-app=vllm) How to use Qwen/Qwen-Drive-1.0-4B with vLLM: Install from pip and serve model # Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Qwen/Qwen-Drive-1.0-4B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: applicati
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