18 lines
596 B
Python
18 lines
596 B
Python
from sentence_transformers import SentenceTransformer
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import requests
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class TextEmbedderGemmaTrain:
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def __init__(self, model_path, lora_path):
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self.model = SentenceTransformer(model_path, trust_remote_code=True, local_files_only=True).to(device="cuda:0")
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self.model.load_adapter(lora_path)
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def embed_texts(self, texts:list[str], query:bool = False)->list[list[float]]:
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"""
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Embed texts using the model.
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"""
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if query:
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return self.model.encode_query(texts)
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else:
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return self.model.encode_document(texts) |