TensorFlow Hub

TensorFlow Hub 是一个存储库，其中包含经过训练的机器学习模型，可随时进行微调并部署到任何地方。只需几行代码，就可以重用像 BERT 和 Faster R-CNN 这样的训练模型。

让我们加载 TensorFlowHub Embedding 类。

from langchain_community.embeddings import 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