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Running
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Zero
File size: 1,056 Bytes
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from typing import List
from langchain_huggingface import HuggingFaceEmbeddings
from sandbox.light_rag.utils import get_device
class HFEmbedding:
def __init__(
self,
model_id: str,
):
device = get_device()
# TODO: hack for zeroGPU
device = "cpu"
print(f"Using device: {device}")
if device == "cpu":
print("Using CPU might be too slow")
self.model_name = model_id
print(f"Loading embeddings model from: {self.model_name}")
self.embeddings_service = HuggingFaceEmbeddings(
model_name=self.model_name,
model_kwargs={"device": device},
)
def embed_batch(self, batch: list[str]):
return self.embeddings_service.embed_documents(batch)
def embed_documents(self, texts: list[str]) -> list[list[float]]:
embeddings = self.embeddings_service.embed_documents(texts)
return embeddings
def embed_query(self, text: str) -> list[float]:
return self.embed_documents([text])[0]
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