Documentation Index
Fetch the complete documentation index at: https://developers.remeinium.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
Python example:from gradio_client import Client
client = Client("Remeinium/Embedding_Siyabasa")
result = client.predict(
word1="අම්මා",
word2="තාත්තා",
api_name="/word_similarity"
)
print(json.dumps(result, indent=4))
{
"word1": "අම්මා",
"word2": "තාත්තා",
"similarity": 0.856234,
"model": "UgannA_SiyabasaV2"
}
import { Client } from "@gradio/client";
const client = await Client.connect("Remeinium/Embedding_Siyabasa");
const result = await client.predict("/word_similarity", {
word1: "අම්මා",
word2: "තාත්තා",
});
console.log(result.data);
{
"word1": "අම්මා",
"word2": "තාත්තා",
"similarity": 0.856234,
"model": "UgannA_SiyabasaV2"
}
curl -X POST https://remeinium-embedding-siyabasa.hf.space/gradio_api/call/word_similarity -s -H "Content-Type: application/json" -d '{
"data": ["අම්මා",
"තාත්තා"
]}' \
| awk -F'"' '{ print $4}' \
| read EVENT_ID; curl -N https://remeinium-embedding-siyabasa.hf.space/gradio_api/call/word_similarity/$EVENT_ID
{
"word1": "අම්මා",
"word2": "තාත්තා",
"similarity": 0.856234,
"model": "UgannA_SiyabasaV2"
}
Accepts 2 parameters:
-
word1 :string *Required
The input value that is provided in the “Word 1” Textbox component.
-
word2 : string *Required
The input value that is provided in the “Word 2: Textbox component.
Returns 1 element
str | float | bool | list | dict
The output value that appears in the “Similarity Result” Json component.
