Integration of sentence-transformer local text embedding
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@@ -17,18 +17,27 @@ class LocalSentenceTransformer_ComputeNode(Queue_ComputeNode):
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def __init__(self, model_name: str = "all-MiniLM-L6-v2"):
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super().__init__()
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logger.info(
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f"LocalSentenceTransformer_ComputeNode init, model_name: {model_name}"
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)
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self.node_id = "local_sentence_transformer_node"
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self.model_name = model_name
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self.model = None
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def initial(self) -> bool:
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logger.info(
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f"LocalSentenceTransformer_ComputeNode init, model_name: {self.model_name}"
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)
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assert self.model_name is not None
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assert self.model is None
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try:
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from sentence_transformers import SentenceTransformer
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self.model = SentenceTransformer(self.model)
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except Exception as err:
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logger.error(f"load model {self.model} failed: {err}")
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return False
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return True
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async def execute_task(
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self, task: ComputeTask
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) -> {
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