metadata
base_model: Salesforce/codegen-350M-mono
library_name: transformers.js
https://huggingface.co/Salesforce/codegen-350M-mono with ONNX weights to be compatible with Transformers.js.
Usage (Transformers.js)
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
Example: Code completion w/ Xenova/codegen-350M-mono.
import { pipeline } from "@huggingface/transformers";
// Create a text generation pipeline
const generator = await pipeline("text-generation", "Xenova/codegen-350M-mono");
// Define the prompt
const text = `def fib(n):
"""Calculates the nth Fibonacci number"""`;
// Generate a response
const output = await generator(text, { max_new_tokens: 45 });
console.log(output[0].generated_text);
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).