/sentence_embedding

import { Client } from "@gradio/client";
	
	const client = await Client.connect("Remeinium/Embedding_Siyabasa");
	const result = await client.predict("/sentence_embedding", { 		
			sentence: "මම පාසලට යමි", 
	});

	console.log(result.data);

{
    "sentence": "මම පාසලට යමි",
    "embedding": [0.123, -0.456, 0.789, ...],
    "dimensions": 300,
    "tokens": ["මම", "පාසලට", "යමි"],
    "model": "UgannA_SiyabasaV2"
}

curl -X POST https://remeinium-embedding-siyabasa.hf.space/gradio_api/call/sentence_embedding -s -H "Content-Type: application/json" -d '{
	"data": ["මම පාසලට යමි"]}' \
	| awk -F'"' '{ print $4}'  \
	| read EVENT_ID; curl -N https://remeinium-embedding-siyabasa.hf.space/gradio_api/call/sentence_embedding/$EVENT_ID

{
    "sentence": "මම පාසලට යමි",
    "embedding": [0.123, -0.456, 0.789, ...],
    "dimensions": 300,
    "tokens": ["මම", "පාසලට", "යමි"],
    "model": "UgannA_SiyabasaV2"
}