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34 lines
1.0 KiB
Python
34 lines
1.0 KiB
Python
import os
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from FlagEmbedding import FlagReranker
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def test_base_multi_devices():
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model = FlagReranker(
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'BAAI/bge-reranker-large',
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use_fp16=True,
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batch_size=128,
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query_max_length=256,
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max_length=512,
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devices=["cuda:3", "cuda:4"], # if you don't have GPUs, you can use ["cpu", "cpu"]
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cache_dir=os.getenv('HF_HUB_CACHE', None),
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)
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pairs = [
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["What is the capital of France?", "Paris is the capital of France."],
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["What is the capital of France?", "The population of China is over 1.4 billion people."],
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["What is the population of China?", "Paris is the capital of France."],
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["What is the population of China?", "The population of China is over 1.4 billion people."]
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] * 100
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scores = model.compute_score(pairs)
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print(scores[:4])
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if __name__ == '__main__':
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test_base_multi_devices()
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print("--------------------------------")
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print("Expected Output:")
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print("[ 7.97265625 -6.8515625 -7.15625 5.45703125]")
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