mirror of
https://github.com/hwchase17/langchain.git
synced 2025-05-28 02:29:17 +00:00
b90e25f786
Add support for calling HuggingFace embedding models using the HuggingFaceHub Inference API. New class mirrors the existing HuggingFaceHub LLM implementation. Currently only supports 'sentence-transformers' models. Closes #86
20 lines
615 B
Python
20 lines
615 B
Python
"""Test HuggingFaceHub embeddings."""
|
|
from langchain.embeddings import HuggingFaceHubEmbeddings
|
|
|
|
|
|
def test_huggingfacehub_embedding_documents() -> None:
|
|
"""Test huggingfacehub embeddings."""
|
|
documents = ["foo bar"]
|
|
embedding = HuggingFaceHubEmbeddings()
|
|
output = embedding.embed_documents(documents)
|
|
assert len(output) == 1
|
|
assert len(output[0]) == 768
|
|
|
|
|
|
def test_huggingfacehub_embedding_query() -> None:
|
|
"""Test huggingfacehub embeddings."""
|
|
document = "foo bar"
|
|
embedding = HuggingFaceHubEmbeddings()
|
|
output = embedding.embed_query(document)
|
|
assert len(output) == 768
|