14 lines
637 B
Python
14 lines
637 B
Python
from sentence_transformers import SentenceTransformer
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# Preguntas y respuestas especializado en eso "multi-qa-mpnet-base-dot-v1"
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# uno de uso gereal el de mejor desempeño all-mpnet-base-v2
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# el mas rapido "paraphrase-MiniLM-L3-v2" y "all-MiniLM-L6-v2"
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# muy rappudo y muy acertado "all-MiniLM-L12-v2"
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models=["all-MiniLM-L12-v2","paraphrase-MiniLM-L3-v2" , "all-MiniLM-L6-v2","all-mpnet-base-v2","multi-qa-mpnet-base-dot-v1"]
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for model in models:
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modelST = SentenceTransformer(model)
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# Define the path where you want to save the model
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save_path = './embeddings/%s/'%(model)
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# Save the model
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modelST.save(save_path)
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