Add support for LFM2 models

[xenova]

Example usage:

import { pipeline, TextStreamer } from "@huggingface/transformers";

// Create a text generation pipeline
const generator = await pipeline(
  "text-generation",
  "onnx-community/LFM2-350M-ONNX",
  { dtype: "q4" },
);

// 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. It is a vibrant city known for its historical landmarks, art, fashion, and gastronomy.

List of converted models:

• https://huggingface.co/onnx-community/LFM2-350M-ONNX
• https://huggingface.co/onnx-community/LFM2-700M-ONNX
• https://huggingface.co/onnx-community/LFM2-1.2B-ONNX

[HuggingFaceDocBuilderDev]

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

[yukiarimo]

How to convert?