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from langchain.embeddings import HuggingFaceEmbeddings from llama_index.embeddings.langchain import LangchainEmbedding
lc_embed_model = HuggingFaceEmbeddings(model_name="GanymedeNil/text2vec-large-chinese") embed_model = LangchainEmbedding(lc_embed_model)
The above embedding model works for Chinese, I wonder if there is a CKIP version of embedding model for Traditonal Chinese ?
The text was updated successfully, but these errors were encountered:
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from langchain.embeddings import HuggingFaceEmbeddings
from llama_index.embeddings.langchain import LangchainEmbedding
lc_embed_model = HuggingFaceEmbeddings(model_name="GanymedeNil/text2vec-large-chinese")
embed_model = LangchainEmbedding(lc_embed_model)
The above embedding model works for Chinese,
I wonder if there is a CKIP version of embedding model for Traditonal Chinese ?
The text was updated successfully, but these errors were encountered: