sentence-transformers How to use REDSOULTM/baxy-router-encoder-ft with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("REDSOULTM/baxy-router-encoder-ft")
sentences = [
"abre o Netflix",
"open a website, URL or web address in a browser; abrir una pagina web, abrir github o un sitio, abrir una direccion como python.org o localhost, navegar a un enlace, open a link in the browser. TAMBIEN: buscar o comprar un producto o juego en una TIENDA WEB (Instant Gaming, Steam store online, Epic Games, GOG, Amazon): ir al sitio de la tienda y buscar ahi el juego; find or buy a game on an online store website, go to the store site and search for the product",
"audio volume, raise or lower the sound volume, turn it up or down (subir/bajar el volumen, lauter/leiser machen, alza/abbassa il volume, aumenta/diminui o volume, monter/baisser le volume); mute and unmute the sound (silenciar, desmutear, stummschalten, ton an, couper/rétablir le son, silenciar/reativar o som), system sound, media keys, audio devices listing",
"WhatsApp messaging: send a message, REPLY/answer a message, open a chat, mandar/responder/contestar un mensaje por WhatsApp, respondele/contestale a una persona, escribir a alguien en wsp, decirle algo a alguien en whatsapp, mensaje de texto"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
