mirror of
https://github.com/FlagOpen/FlagEmbedding.git
synced 2025-06-27 02:39:58 +00:00
34 lines
1.0 KiB
Python
34 lines
1.0 KiB
Python
import os
|
|
from FlagEmbedding import FlagAutoReranker
|
|
|
|
|
|
def test_base_multi_devices():
|
|
model = FlagAutoReranker.from_finetuned(
|
|
'BAAI/bge-reranker-large',
|
|
use_fp16=True,
|
|
batch_size=128,
|
|
query_max_length=256,
|
|
max_length=512,
|
|
devices=["cuda:3"], # if you don't have GPUs, you can use ["cpu", "cpu"]
|
|
cache_dir=os.getenv('HF_HUB_CACHE', None),
|
|
)
|
|
|
|
pairs = [
|
|
["What is the capital of France?", "Paris is the capital of France."],
|
|
["What is the capital of France?", "The population of China is over 1.4 billion people."],
|
|
["What is the population of China?", "Paris is the capital of France."],
|
|
["What is the population of China?", "The population of China is over 1.4 billion people."]
|
|
] * 100
|
|
|
|
scores = model.compute_score(pairs)
|
|
|
|
print(scores[:4])
|
|
|
|
|
|
if __name__ == '__main__':
|
|
test_base_multi_devices()
|
|
|
|
print("--------------------------------")
|
|
print("Expected Output:")
|
|
print("[7.9765625, -6.84375, -7.15625, 5.453125]")
|