Text Ranking
Transformers
ONNX
Safetensors
sentence-transformers
Transformers.js
English
modernbert
text-classification
text-embeddings-inference
Instructions to use Alibaba-NLP/gte-reranker-modernbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alibaba-NLP/gte-reranker-modernbert-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alibaba-NLP/gte-reranker-modernbert-base") model = AutoModelForSequenceClassification.from_pretrained("Alibaba-NLP/gte-reranker-modernbert-base") - sentence-transformers
How to use Alibaba-NLP/gte-reranker-modernbert-base with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("Alibaba-NLP/gte-reranker-modernbert-base") 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.js
How to use Alibaba-NLP/gte-reranker-modernbert-base with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-ranking', 'Alibaba-NLP/gte-reranker-modernbert-base'); - Notebooks
- Google Colab
- Kaggle
How to load ONNX version with CrossEncoder class?
#7
by hveigz - opened
How to load the ONNX version directly with the CrossEncoder class?
Hello!
I'm afraid this is not currently possible in Sentence Transformers without some minor hacking, e.g.
from optimum.onnxruntime import ORTModelForSequenceClassification
from sentence_transformers import CrossEncoder
model = CrossEncoder("Alibaba-NLP/gte-reranker-modernbert-base")
model.model = ORTModelForSequenceClassification.from_pretrained("Alibaba-NLP/gte-reranker-modernbert-base")
Note: this is untested.
ONNX and OpenVINO support will be added to Sentence Transformers soon.
- Tom Aarsen
hveigz changed discussion status to closed