20 lines
537 B
Python
20 lines
537 B
Python
from embedding.base import EmbeddingBase
|
|
from sentence_transformers import SentenceTransformer
|
|
|
|
|
|
class HuggingFaceEmbedding(EmbeddingBase):
|
|
def __init__(self, model_name="multi-qa-MiniLM-L6-cos-v1"):
|
|
self.model = SentenceTransformer(model_name)
|
|
|
|
def get_embedding(self, text):
|
|
"""
|
|
Get the embedding for the given text using Hugging Face.
|
|
|
|
Args:
|
|
text (str): The text to embed.
|
|
|
|
Returns:
|
|
list: The embedding vector.
|
|
"""
|
|
return self.model.encode(text)
|