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(
word="පෞරාණික",
top_k=5,
api_name="/nearest_neighbors"
)
print(json.dumps(result, indent=4))
{
"query": "පෞරාණික",
"neighbors": [
{"word": "ඉපැරණි", "similarity": 0.755...},
{"word": "පුරාවිද්යාත්මක", "similarity": 0.749...},
...
],
"model": "UgannA_SiyabasaV2"
}
import { Client } from "@gradio/client";
const client = await Client.connect("Remeinium/Embedding_Siyabasa");
const result = await client.predict("/nearest_neighbors", {
word: "පෞරාණික",
top_k: 5,
});
console.log(result.data);
curl -X POST https://remeinium-embedding-siyabasa.hf.space/gradio_api/call/nearest_neighbors -s -H "Content-Type: application/json" -d '{
"data": ["පෞරාණික",5]}' \
| awk -F'"' '{ print $4}' \
| read EVENT_ID; curl -N https://remeinium-embedding-siyabasa.hf.space/gradio_api/call/nearest_neighbors/$EVENT_ID
Accepts 2 parameters:
-
word : str *Required
The input value that is provided in the “Query Word” Textbox component.
-
top_k : float Default: 10
The input value that is provided in the “Number of Results” Slider component.
Returns 1 element
str | float | bool | list | dict
The output value that appears in the “Similar Words” Json component.
