forked from Archives/langchain
c1807d8408
# What does this PR do? Bring support of `encode_kwargs` for ` HuggingFaceInstructEmbeddings`, change the docstring example and add a test to illustrate with `normalize_embeddings`. Fixes #3605 (Similar to #3914) Use case: ```python from langchain.embeddings import HuggingFaceInstructEmbeddings model_name = "hkunlp/instructor-large" model_kwargs = {'device': 'cpu'} encode_kwargs = {'normalize_embeddings': True} hf = HuggingFaceInstructEmbeddings( model_name=model_name, model_kwargs=model_kwargs, encode_kwargs=encode_kwargs ) ``` |
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| .. | ||
| agent | ||
| cache | ||
| callbacks | ||
| chains | ||
| chat_models | ||
| client | ||
| document_loaders | ||
| embeddings | ||
| examples | ||
| llms | ||
| memory | ||
| prompts | ||
| retrievers | ||
| utilities | ||
| vectorstores | ||
| __init__.py | ||
| .env.example | ||
| conftest.py | ||
| test_document_transformers.py | ||
| test_nlp_text_splitters.py | ||
| test_pdf_pagesplitter.py | ||
| test_schema.py | ||
| test_text_splitter.py | ||