Allowing HuggingFaceEmbeddings from the cached weight (#3084)

### https://github.com/hwchase17/langchain/issues/3079
Allow initializing HuggingFaceEmbeddings from the cached weight
fix_agent_callbacks
Azam Iftikhar 1 year ago committed by GitHub
parent 55f6f80a59
commit 188e9b9beb
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23

@ -1,5 +1,5 @@
"""Wrapper around HuggingFace embedding models."""
from typing import Any, List
from typing import Any, List, Optional
from pydantic import BaseModel, Extra
@ -29,6 +29,9 @@ class HuggingFaceEmbeddings(BaseModel, Embeddings):
client: Any #: :meta private:
model_name: str = DEFAULT_MODEL_NAME
"""Model name to use."""
cache_folder: Optional[str] = None
"""Path to store models.
Can be also set by SENTENCE_TRANSFORMERS_HOME enviroment variable."""
def __init__(self, **kwargs: Any):
"""Initialize the sentence_transformer."""
@ -36,7 +39,9 @@ class HuggingFaceEmbeddings(BaseModel, Embeddings):
try:
import sentence_transformers
self.client = sentence_transformers.SentenceTransformer(self.model_name)
self.client = sentence_transformers.SentenceTransformer(
self.model_name, self.cache_folder
)
except ImportError:
raise ValueError(
"Could not import sentence_transformers python package. "

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