---
title: TensorFlow Hub
---

>[TensorFlow Hub](https://www.tensorflow.org/hub)는 미세 조정이 가능하고 어디서나 배포할 수 있는 학습된 머신러닝 모델의 저장소입니다. `BERT`와 `Faster R-CNN`과 같은 학습된 모델을 단 몇 줄의 코드로 재사용할 수 있습니다.

TensorflowHub Embedding class를 로드해 보겠습니다.

```python
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


---

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