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[ARTICLE · art-12572] src=gist.github.com ↗ pub= topic=machine-learning verified=true sentiment=· neutral

Hugging Face's Text Embeddings Inference Library

Based on the provided text, the article describes using the Hugging Face Text Embeddings Inference library via a local server at port 8080. It demonstrates sending HTTP POST requests to the `/embed` endpoint, first with a single sentence and then with ten sentences from a JSON file, and piping the output through `jq` to display only the first five embedding values.

read1 min views28 publishedOct 28, 2023

http POST 127.0.0.1:8080/embed
inputs:= " $( jq ' .[0:1] ' sentences.json ) "

|

jq -c ' .[][:5] '

http POST 127.0.0.1:8080/embed
inputs:= " $( jq ' .[0:10] ' sentences.json ) "

|

jq -c ' .[][:5] '

source & further reading
gist.github.com — original article Visualizing MNIST Training with Deep Neural Networks Find what your prompt is missing: the blindspot pass, the debrief, and the permanent fix, made specific Give Claude Eyes — watch any video frame-by-frame, 100% local (buildwith.conrad)
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