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I'm sorry, but based on the provided knowledge sources, there's no information about using
bm25
as a
HuggingFaceEmbedding
model in LlamaIndex. The examples provided use different HuggingFace models such as
BAAI/bge-small-en-v1.5
.
Here's an example of how to set a HuggingFace model with
HuggingFaceEmbedding
:
from llama_index.embeddings.huggingface import HuggingFaceEmbedding
embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-small-en-v1.5")
source ()
If you're looking to use a different HuggingFace model like
bm25
, you would need to check if it's available on HuggingFace and how to properly configure it. I recommend checking the official HuggingFace model hub or reaching out to their support for more accurate information.
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Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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