Run any AI model on any device
Secure, fast & open-source
Run text, vision and speech models locally.
Pick any model from Hugging Face.
Integrate
Start using AI in a few lines of code
import { Chat } from "react-native-nobodywho";
const chat = await Chat.fromPath({ modelPath: "./model.gguf" });
const response = await chat.ask("What is the capital of denmark?").completed();
// The capital of Denmark is Copenhagen.
import "dart:io"
final chat = await nobodywho.Chat.fromPath(modelPath: "./model.gguf");
final response = await chat.ask("What is the capital of denmark?").completed();
// The capital of Denmark is Copenhagen.
import ai.nobodywho.Chat
import kotlinx.coroutines.runBlocking
val chat = runBlocking { Chat.fromPath(modelPath = "./model.gguf") }
val response = runBlocking {
chat.ask("What is the capital of denmark?").completed()
}
// The capital of Denmark is Copenhagen.
import NobodyWho
let chat = try await Chat.fromPath(modelPath: "./model.gguf")
let response = try await chat.ask(
"What is the capital of denmark?"
).completed();
// The capital of Denmark is Copenhagen.
from nobodywho import Chat
chat = Chat("./model.gguf")
response: str = chat.ask("What is the capital of denmark?").completed()
# The capital of Denmark is Copenhagen.
extends NobodyWhoChat
func _ready():
self.model_node = get_node("../ChatModel")
self.response_updated.connect(_on_response_updated)
self.response_finished.connect(_on_response_finished)
self.start_worker()
self.ask("What is the capital of denmark?")
func _on_response_finished(response):
print(response)
# The capital of Denmark is Copenhagen.
const stt = new STT({source: "hf://onnx-community/whisper-base"});
const text = await stt.transcribeFile("recording.mp3").completed();
final stt = nobodywho.Stt(source: 'hf://onnx-community/whisper-base');
final text = await stt.transcribeFile('recording.mp3').completed();
val stt = Stt(source = "hf://onnx-community/whisper-base")
val text = stt.transcribeFile("recording.mp3").completed()
let stt = try STT(source: "hf://onnx-community/whisper-base")
let text = try await stt.transcribeFile(path: "recording.mp3").completed()
stt = STT(source="hf://onnx-community/whisper-base")
text = stt.transcribe_file("recording.mp3").completed()
stt.model_path = "hf://onnx-community/whisper-base"
stt.start_worker()
await stt.worker_started
stt.transcribe_file("res://recording.mp3")
var text = await stt.transcription_finished
const tts = await Tts.load({
source: "NobodyWho/Kokoro-82M",
voice: "bf_emma",
language: "en-gb",
});
const wav = await tts.synthesize("Hello from NobodyWho!");
final tts = await nobodywho.Tts.load(
source: 'NobodyWho/Kokoro-82M',
voice: 'bf_emma',
language: 'en-gb',
);
final wav = await tts.synthesize(text: 'Hello from NobodyWho!');
await File('out.wav').writeAsBytes(wav);
val tts = Tts.load(
source = "NobodyWho/Kokoro-82M",
voice = "bf_emma",
language = "en-gb",
)
val wav = tts.synthesize(text = "Hello from NobodyWho!")
File("out.wav").writeBytes(wav)
let tts = try await Tts.load(
source: "NobodyWho/Kokoro-82M",
voice: "bf_emma",
language: "en-gb"
)
let wav = try await tts.synthesize("Hello from NobodyWho!")
try wav.write(to: URL(fileURLWithPath: "out.wav"))
tts = Tts(
source="NobodyWho/Kokoro-82M",
voice="bf_emma",
language="en-gb",
)
wav = tts.synthesize("Hello from NobodyWho!")
Path("out.wav").write_bytes(wav)
extends Node
@onready var tts: NobodyWhoTts = $NobodyWhoTts
func _ready():
tts.source = "NobodyWho/Kokoro-82M"
tts.start_worker()
await tts.worker_started
var result: Dictionary = await tts.synthesize("Hello from NobodyWho!")
if not result.ok:
push_error(result.error)
return
var file = FileAccess.open("user://out.wav", FileAccess.WRITE)
Run anywhere, no servers required.
On-device inference engine for smartwatch apps.
Fast & Secure inference
Performance
Fast on any hardware
Optimized kernels for Metal, CUDA, and Vulkan. Get high-performance inference even on integrated graphics and mobile chips.
Privacy
Keep it private
Everything stays on your machine, no cloud logging, no exceptions. Your prompts never leave the memory of your local GPU.
Offline
No internet needed
Run models in flight or in secure environments.
Any model
Thousands of LLMs
Direct support for GGUF format.
$0
Free
Completely free, no API keys, or usage fees.
Model selection
European open-source AI
The library is open source under EUPL 1.2 and is free for both individuals and companies.