TensorFlow Hub
TensorFlow Hub 是一個經過訓練的機器學習模型儲存庫，隨時可以進行微調並部署到任何地方。只需幾行程式碼即可重複使用經過訓練的模型，例如
BERT和Faster R-CNN。
讓我們載入 TensorflowHub Embedding 類別。
from langchain_community.embeddings import TensorflowHubEmbeddings
API 參考：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