You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: mod.rs
    path of file: ./repos/rust-bert/src/models/m2m_100
    
    the code of the file until where you have to start completion: //! # M2M-100 (Fan et al.)
//!
//! Implementation of the M2M-100 language model ([Beyond English-Centric Multilingual Machine Translation](https://arxiv.org/abs/2010.11125) Fan, Bhosale, Schwenk, Ma, El-Kishky, Goyal, Baines, Celebi, Wenzel, Chaudhary, Goyal, Birch, Liptchinsky, Edunov, Grave, Auli, Joulin, 2020).
//! The base model is implemented in the `m2m_100::M2M100Model` struct. The model also includes a language model head: `m2m_100::M2M100ForConditionalGeneration`
//! implementing the common `generation_utils::LanguageGenerator` trait shared between the models used for generation (see `pipelines` for more information).
//! This model allows for direct translation between 100 languages.
//! The translation capabilities are illustrated in `examples/translation_m2m100`, run with `cargo run --example translation_m2m100`.
//!
//! # Model set-up and pre-trained weights loading
//!
//! All models expect the following resources:
//! - Configuration file expected to have a structure following the [Transformers library](https://github.com/huggingface/transformers)
//! - Model weights are expected to have a structure and parameter names followi
    
//! # fn main() -> anyhow::Result<()> {
//! #
//! use tch::{nn, Device};
//! # use std::path::PathBuf;
//! use rust_bert::m2m_100::{M2M100Config, M2M100Model};
//! use rust_bert::resources::{LocalResource, ResourceProvider};
//! use rust_bert::Config;
//! use rust_tokenizers::tokenizer::M2M100Tokenizer;
//!
//! let config_resource = LocalResource {
//!     local_path: PathBuf::from("path/to/config.json"),
//! };
//! let vocab_resource = LocalResource {
//!     local_path: PathBuf::from("path/to/vocab.txt"),
//! };
//! let merges_resource = LocalResource {
//!     local_path: PathBuf::from("path/to/spiece.model"),
//! };
//! let weights_resource = LocalResource {
//!     local_path: PathBuf::from("path/to/model.ot"),
//! };
//! let config_path = config_resource.get_local_path()?;
//! let vocab_path = vocab_resource.get_local_path()?;
//! let merges_path = merges_resource.get_local_path()?;
//! let weights_path = weights_resource.get_local_path()?;
//!
//! let device = Device::cuda_if_available();
//! let mut vs = nn::VarStore::new(device);
//! let tokenizer: M2M100Tokenizer = M2M100Tokenizer::from_files(
//!     vocab_path.to_str().unwrap(),
//!     merges_path.to_str().unwrap(),
//!     false,
//! )?;
//! let config = M2M100Config::from_file(config_path);
//! let m2m100_model = M2M100Model::new(&vs.root(), &config);
//! vs.load(weights_path)?;
//!
//! # Ok(())
//! # }