GitHub

Mark-Hopkins-at-Williams/encoder-decoder-finetuning

{ "model_dir": "examples/model-example1", "finetuning_parameters": { "base_model": "facebook/nllb-200-distilled-600M", "batch_size": 32, "num_steps": 2000 }, "corpora ...
GitHub

Encoder-Decoder-Models-Using--RNN-and-LSTM

This project is a simple implementation of an Encoder-Decoder model using LSTM to perform English to French translation on a small set of sentence pairs. Built and tested in Google Colab, the model ...
inc42

What Is Encoder-Decoder Architecture? Here’s All You Need to Know

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...
IEEE

Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction

Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...