mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
"""Test HuggingFace API wrapper."""
|
|
|
|
import unittest
|
|
from pathlib import Path
|
|
|
|
import pytest
|
|
|
|
from langchain.llms.huggingface_endpoint import HuggingFaceEndpoint
|
|
from langchain.llms.loading import load_llm
|
|
from tests.integration_tests.llms.utils import assert_llm_equality
|
|
|
|
|
|
@unittest.skip(
|
|
"This test requires an inference endpoint. Tested with Hugging Face endpoints"
|
|
)
|
|
def test_huggingface_endpoint_text_generation() -> None:
|
|
"""Test valid call to HuggingFace text generation model."""
|
|
llm = HuggingFaceEndpoint(
|
|
endpoint_url="", task="text-generation", model_kwargs={"max_new_tokens": 10}
|
|
)
|
|
output = llm("Say foo:")
|
|
print(output)
|
|
assert isinstance(output, str)
|
|
|
|
|
|
@unittest.skip(
|
|
"This test requires an inference endpoint. Tested with Hugging Face endpoints"
|
|
)
|
|
def test_huggingface_endpoint_text2text_generation() -> None:
|
|
"""Test valid call to HuggingFace text2text model."""
|
|
llm = HuggingFaceEndpoint(endpoint_url="", task="text2text-generation")
|
|
output = llm("The capital of New York is")
|
|
assert output == "Albany"
|
|
|
|
|
|
def test_huggingface_endpoint_call_error() -> None:
|
|
"""Test valid call to HuggingFace that errors."""
|
|
llm = HuggingFaceEndpoint(model_kwargs={"max_new_tokens": -1})
|
|
with pytest.raises(ValueError):
|
|
llm("Say foo:")
|
|
|
|
|
|
def test_saving_loading_endpoint_llm(tmp_path: Path) -> None:
|
|
"""Test saving/loading an HuggingFaceHub LLM."""
|
|
llm = HuggingFaceEndpoint(
|
|
endpoint_url="", task="text-generation", model_kwargs={"max_new_tokens": 10}
|
|
)
|
|
llm.save(file_path=tmp_path / "hf.yaml")
|
|
loaded_llm = load_llm(tmp_path / "hf.yaml")
|
|
assert_llm_equality(llm, loaded_llm)
|