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| """Test HuggingFaceHub embeddings.""" | |
| import pytest | |
| 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 | |
| def test_huggingfacehub_embedding_invalid_repo() -> None: | |
| """Test huggingfacehub embedding repo id validation.""" | |
| # Only sentence-transformers models are currently supported. | |
| with pytest.raises(ValueError): | |
| HuggingFaceHubEmbeddings(repo_id="allenai/specter") | |