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OVHcloud

In order to use this model you need to create a new token on the AI Endpoints website: https://endpoints.ai.cloud.ovh.net/.

This notebook explains how to use OVHCloudEmbeddings, which is included in the langchain_community package, to embed texts in langchain.

from langchain_community.embeddings.ovhcloud import OVHCloudEmbeddings

embedder = OVHCloudEmbeddings(
    model_name="multilingual-e5-base", region="kepler", access_token="MyAccessToken"
)
embed = embedder.embed_query("Hello World!")

""" verify """
print(f"Embedding generated by OVHCloudEmbeddings: {embed}")
API Reference:OVHCloudEmbeddings
Embedding generated by OVHCloudEmbeddings: [0.013393167, 0.03732136, -0.0042296825, 0.042756177, 0.022484222, -0.0045062024, -0.039632313, -0.016722068, 0.035480227, 0.021987874, -0.007831321, -0.002374333, 0.14827625, 0.044154406, -0.038416132, -0.051982213, 0.0054677227, -0.030913774, 0.03872776, 0.00080121466, 0.06914864, -0.01889285, 0.051963896, -0.049868602, 0.032817934, -0.012699772, 0.029378777, -0.019135607, -0.014866451, 0.010978144, 0.036102116, -0.024129838, 0.0059551136, 0.025592148, 0.0330448, 0.05326782, -0.008618608, -0.04626763, 0.046697352, 0.007115799, 0.025649866, 0.02479821, -0.011125191, -0.011960746, 0.027974335, -0.008805084, -0.0014219242, -0.016421443, -0.042280562, -0.027239632, 0.013829875, 0.008757527, 0.024184346, 0.01559286, -0.05868668, -0.058345765, 0.048597623, 0.027461633, -0.03701432, 0.014960674, 0.0055076545, 0.011801827, 0.003185198, 0.024615683, 0.04377218, -0.02428408, -0.01129621, -0.008451086, -0.024531357, -0.029689042, 0.019617215, 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