ComponentsText embedding modelsHugging FaceOn this pageHugging FaceLet's load the Hugging Face Embedding class.pip install langchain sentence_transformersfrom langchain.embeddings import HuggingFaceEmbeddingsembeddings = HuggingFaceEmbeddings()text = "This is a test document."query_result = embeddings.embed_query(text)query_result[:3]    [-0.04895168915390968, -0.03986193612217903, -0.021562768146395683]doc_result = embeddings.embed_documents([text])Hugging Face Inference API​We can also access embedding models via the Hugging Face Inference API, which does not require us to install sentence_transformers and download models locally.import getpassinference_api_key = getpass.getpass("Enter your HF Inference API Key:\n\n")    Enter your HF Inference API Key:         ········from langchain.embeddings import HuggingFaceInferenceAPIEmbeddingsembeddings = HuggingFaceInferenceAPIEmbeddings(    api_key=inference_api_key,    model_name="sentence-transformers/all-MiniLM-l6-v2")query_result = embeddings.embed_query(text)query_result[:3]    [-0.038338541984558105, 0.1234646737575531, -0.028642963618040085]PreviousGradientNextInstructEmbeddingsHugging Face Inference API