alibaba-pai/SearchQwen2.5-7B开源了新模型

Alibaba alibaba-pai/SearchQwen2.5-7B alibaba-pai/SearchQwen2.5-7B https://huggingface.co/alibaba-pai/SearchQwen2.5-7B

alibaba-pai/SearchQwen2.5-7B · 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/alibaba-pai) alibaba-pai (https://huggingface.co/alibaba-pai) / SearchQwen2.5-7B (https://huggingface.co/alibaba-pai/SearchQwen2.5-7B) like 2 Follow Alibaba-PAI 5.08k Text Generation (https://huggingface.co/models?pipeline_tag=text-generation) Transformers (https://huggingface.co/models?library=transformers) Safetensors (https://huggingface.co/models?library=safetensors) English (https://huggingface.co/models?language=en) qwen2 (https://huggingface.co/models?other=qwen2) search-agent (https://huggingface.co/models?other=search-agent) tool-use (https://huggingface.co/models?other=tool-use) function-calling (https://huggingface.co/models?other=function-calling) deep-search (https://huggingface.co/models?other=deep-search) qwen (https://huggingface.co/models?other=qwen) conversational (https://huggingface.co/models?other=conversational) text-generation-inference (https://huggingface.co/models?other=text-generation-inference) License: apache-2.0 Model card (https://huggingface.co/alibaba-pai/SearchQwen2.5-7B) Files Files and versions xet (https://huggingface.co/alibaba-pai/SearchQwen2.5-7B/tree/main) Community (https://huggingface.co/alibaba-pai/SearchQwen2.5-7B/discussions) Deploy Copy to bucket new Use this model Instructions to use alibaba-pai/SearchQwen2.5-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers (https://huggingface.co/alibaba-pai/SearchQwen2.5-7B?library=transformers) How to use alibaba-pai/SearchQwen2.5-7B with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="alibaba-pai/SearchQwen2.5-7B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages) # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("alibaba-pai/SearchQwen2.5-7B") model = AutoModelForCausalLM.from_pretrained("alibaba-pai/SearchQwen2.5-7B", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) Notebooks Google Colab (https://huggingface.co/alibaba-pai/SearchQwen2.5-7B/colab) Kaggle (https://huggingface.co/alibaba-pai/SearchQwen2.5-7B/kaggle) Local Apps Settings (https://huggingface.co/settings/loca