metadata
license: apache-2.0
base_model:
- EssentialAI/rnj-1-instruct
pipeline_tag: text-generation
library_name: transformers.js
use with Transformers.js
Note: This model requires Transformers.js v4.0.0 and above!
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
Example: Basic example
import { pipeline, TextStreamer } from "@huggingface/transformers";
// Create a text generation pipeline
const generator = await pipeline(
"text-generation",
"onnx-community/rnj-1-instruct-ONNX",
{
device: "webgpu",
dtype: "q4f16",
},
);
// Define the list of messages
const messages = [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "What is the capital of France?" },
];
// Generate a response
const output = await generator(messages, {
max_new_tokens: 512,
do_sample: false,
streamer: new TextStreamer(generator.tokenizer, { skip_prompt: true, skip_special_tokens: true }),
});
console.log(output[0].generated_text.at(-1).content);
// The capital of France is Paris.