Text Ranking
sentence-transformers
Safetensors
Transformers
mistral3
text-classification
reranker
cross-encoder
visual-document-retrieval
multimodal reranking
semantic-search
rag
vllm
custom_code
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
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
How to use nvidia/Nemotron-3.5-Rerank-8B-BF16 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("nvidia/Nemotron-3.5-Rerank-8B-BF16", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("nvidia/Nemotron-3.5-Rerank-8B-BF16", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Simplify Sentence Transformers examples and configure FP32 scoring
#1
by tomaarsen HF Staff - opened
Hello!
Heads up, I developed this PR with AI assistance and reviewed the changes before opening it.
Pull Request overview
- Simplify the Sentence Transformers example and refresh its output
- Document prebuilt FlashAttention 2 kernels
- Configure FP32 scoring head computation
Details
I've verified the shorter example against the previous implementation. The optional FP32 scoring head setting uses https://github.com/huggingface/sentence-transformers/pull/4230. Older Sentence Transformers releases ignore it.
cc @oliverholworthy @ybabakhin
- Tom Aarsen
tomaarsen changed pull request status to open
Thanks @tomaarsen for simplifying this example, looks great. And for adding the optional FP32 scoring head configuration
oliverholworthy changed pull request status to merged