Convert the model to a SequenceClassification variant c6e8aa2
Tom Aarsen commited on
How to use tomaarsen/Qwen3-Reranker-4B-seq-cls with sentence-transformers:
from sentence_transformers import CrossEncoder
model = CrossEncoder("tomaarsen/Qwen3-Reranker-4B-seq-cls")
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)How to use tomaarsen/Qwen3-Reranker-4B-seq-cls with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("tomaarsen/Qwen3-Reranker-4B-seq-cls")
model = AutoModelForSequenceClassification.from_pretrained("tomaarsen/Qwen3-Reranker-4B-seq-cls", device_map="auto")