TensorFlow Hub
TensorFlow Hub 是一个经过训练的机器学习模型存储库，可随时进行微调并在任何地方部署。只需几行代码即可重用经过训练的模型，例如
BERT和Faster R-CNN。让我们加载 TensorflowHub Embedding 类。
from langchain_community.embeddings import TensorflowHubEmbeddings
API 参考：TensorflowHubEmbeddings
embeddings = TensorflowHubEmbeddings()
2023-01-30 23:53:01.652176: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-01-30 23:53:34.362802: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
text = "This is a test document."
query_result = embeddings.embed_query(text)
doc_results = embeddings.embed_documents(["foo"])
doc_results