Revert inadvertent config, tokenizer updates 2b12c2c
Tom Aarsen commited on
How to use cross-encoder/stsb-roberta-large with sentence-transformers:
from sentence_transformers import CrossEncoder
model = CrossEncoder("cross-encoder/stsb-roberta-large")
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 cross-encoder/stsb-roberta-large with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("cross-encoder/stsb-roberta-large")
model = AutoModelForSequenceClassification.from_pretrained("cross-encoder/stsb-roberta-large")