mirror of
https://github.com/hwchase17/langchain
synced 2024-11-18 09:25:54 +00:00
d564308e0f
Co-authored-by: seanaedmiston <seane999@gmail.com>
44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
"""Test huggingface embeddings."""
|
|
import unittest
|
|
|
|
from langchain.embeddings.huggingface import (
|
|
HuggingFaceEmbeddings,
|
|
HuggingFaceInstructEmbeddings,
|
|
)
|
|
|
|
|
|
@unittest.skip("This test causes a segfault.")
|
|
def test_huggingface_embedding_documents() -> None:
|
|
"""Test huggingface embeddings."""
|
|
documents = ["foo bar"]
|
|
embedding = HuggingFaceEmbeddings()
|
|
output = embedding.embed_documents(documents)
|
|
assert len(output) == 1
|
|
assert len(output[0]) == 768
|
|
|
|
|
|
@unittest.skip("This test causes a segfault.")
|
|
def test_huggingface_embedding_query() -> None:
|
|
"""Test huggingface embeddings."""
|
|
document = "foo bar"
|
|
embedding = HuggingFaceEmbeddings()
|
|
output = embedding.embed_query(document)
|
|
assert len(output) == 768
|
|
|
|
|
|
def test_huggingface_instructor_embedding_documents() -> None:
|
|
"""Test huggingface embeddings."""
|
|
documents = ["foo bar"]
|
|
embedding = HuggingFaceInstructEmbeddings()
|
|
output = embedding.embed_documents(documents)
|
|
assert len(output) == 1
|
|
assert len(output[0]) == 768
|
|
|
|
|
|
def test_huggingface_instructor_embedding_query() -> None:
|
|
"""Test huggingface embeddings."""
|
|
query = "foo bar"
|
|
embedding = HuggingFaceInstructEmbeddings()
|
|
output = embedding.embed_query(query)
|
|
assert len(output) == 768
|