0 Fork 0

mirror of https://github.com/langchain-ai/langchain.git synced 2026-10-09 19:35:20 +03:00

Files

T

Leonid Ganeline 92a5f00ffb docs: ecosystem/integrations update 5 (#5752 )

- added missed integration to `docs/ecosystem/integrations/`
- updated notebooks to consistent format: changed titles, file names;
added descriptions

#### Who can review?
 @hwchase17 
 @dev2049

2023-06-05 16:08:55 -07:00

3.0 KiB

Raw Blame History

Tensorflow Hub

TensorFlow Hub is a repository of trained machine learning models ready for fine-tuning and deployable anywhere.

TensorFlow Hub lets you search and discover hundreds of trained, ready-to-deploy machine learning models in one place.

In [1]:

from langchain.embeddings import TensorflowHubEmbeddings

In [5]:

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.

In [6]:

text = "This is a test document."

In [7]:

query_result = embeddings.embed_query(text)

In [6]:

doc_results = embeddings.embed_documents(["foo"])

In [ ]:

doc_results

In [ ]:

3.0 KiB Raw Blame History

Tensorflow Hub

3.0 KiB

Raw Blame History