nvidia/Nemotron-3.5-Rerank-8B-BF16开源了新模型

NVIDIA nvidia/Nemotron-3.5-Rerank-8B-BF16 nvidia/Nemotron-3.5-Rerank-8B-BF16 https://huggingface.co/nvidia/Nemotron-3.5-Rerank-8B-BF16

nvidia/Nemotron-3.5-Rerank-8B-BF16 · 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/nvidia) nvidia (https://huggingface.co/nvidia) / Nemotron-3.5-Rerank-8B-BF16 (https://huggingface.co/nvidia/Nemotron-3.5-Rerank-8B-BF16) Like 16 Follow NVIDIA 71.6k Text Ranking (https://huggingface.co/models?pipeline_tag=text-ranking) sentence-transformers (https://huggingface.co/models?library=sentence-transformers) Safetensors (https://huggingface.co/models?library=safetensors) Transformers (https://huggingface.co/models?library=transformers) 34 languages mistral3 (https://huggingface.co/models?other=mistral3) text-classification (https://huggingface.co/models?other=text-classification) reranker (https://huggingface.co/models?other=reranker) cross-encoder (https://huggingface.co/models?other=cross-encoder) visual-document-retrieval (https://huggingface.co/models?other=visual-document-retrieval) multimodal reranking (https://huggingface.co/models?other=multimodal+reranking) semantic-search (https://huggingface.co/models?other=semantic-search) rag (https://huggingface.co/models?other=rag) vllm (https://huggingface.co/models?other=vllm) custom_code (https://huggingface.co/models?other=custom_code) License: openmdw-1.1 Model card (https://huggingface.co/nvidia/Nemotron-3.5-Rerank-8B-BF16) Files Files and versions xet (https://huggingface.co/nvidia/Nemotron-3.5-Rerank-8B-BF16/tree/main) Community (https://huggingface.co/nvidia/Nemotron-3.5-Rerank-8B-BF16/discussions) Deploy Copy to bucket new Use this model Instructions to use nvidia/Nemotron-3.5-Rerank-8B-BF16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries sentence-transformers (https://huggingface.co/nvidia/Nemotron-3.5-Rerank-8B-BF16?library=sentence-transformers) How to use nvidia/Nemotron-3.5-Rerank-8B-BF16 with sentence-transformers: from sentence_transformers import CrossEncoder model = CrossEncoder("nvidia/Nemotron-3.5-Rerank-8B-BF16", trust_remote_code=True) query = "Which planet is known as the Red Planet?" passages = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", "Saturn, famous for its rings, is sometimes mistaken for the Red Planet." ] scores = model.predict([(query, passage) for passage in passages]) print(scores) Transformers (https://huggingface.co/nvidia/Nemotron-3.5-Rerank-8B-BF16?library=transformers) How to use nvidia/Nemotron-3.5-Rerank-8B-BF16 with Transformers: # pip install -U