Text Ranking
Transformers
Safetensors
sentence-transformers
English
modernbert
text-classification
cross-encoder
text-embeddings-inference
Instructions to use Jsevisal/CrossEncoder-ModernBERT-base-qnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jsevisal/CrossEncoder-ModernBERT-base-qnli with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jsevisal/CrossEncoder-ModernBERT-base-qnli") model = AutoModelForSequenceClassification.from_pretrained("Jsevisal/CrossEncoder-ModernBERT-base-qnli", device_map="auto") - sentence-transformers
How to use Jsevisal/CrossEncoder-ModernBERT-base-qnli with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("Jsevisal/CrossEncoder-ModernBERT-base-qnli") 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) - Notebooks
- Google Colab
- Kaggle
Upload CrossEncoder
Browse files- README.md +5 -5
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