Xenova/codegen-350M-mono

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);

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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).