gpt2 small spanish

Introduction

GPT2-small-spanish is a cutting-edge language model for Spanish text generation, based on the GPT-2 small model. It utilizes transfer learning and fine-tuning techniques to achieve state-of-the-art performance. The model is designed for natural language processing (NLP) tasks, focusing on Spanish text.

Architecture

The GPT2-small-spanish model is derived from the English pre-trained GPT-2 small model. It employs the Transformers and Tokenizers libraries by Hugging Face, integrated within the fastai v2 Deep Learning framework. The model architecture is based on the GPorTuguese-2 model, which was adapted for Spanish text.

Training

The model was trained using Spanish Wikipedia data, with processed training data amounting to approximately 3GB. The training process took around 70 hours and was conducted using four NVIDIA GTX 1080-Ti GPUs, each with 11GB of DDR5 memory. The training was based on techniques used in the GPorTuguese-2 model, focusing on fine-tuning the English GPT-2 model for Spanish.

Guide: Running Locally

1. Install Dependencies: Ensure you have Python and the necessary libraries, including Transformers and fastai.
2. Download the Model: Access the model from the Hugging Face Model Hub.
3. Load and Fine-tune: Use the Transformers library to load the model and fine-tune it on your specific tasks or datasets.
4. Inference: Utilize the model for text generation or other NLP tasks as needed.

For enhanced performance, consider using cloud GPUs such as those provided by AWS, Google Cloud, or Azure.

License

The GPT2-small-spanish model is distributed under the Apache License 2.0, allowing for broad use and modification while maintaining certain legal requirements.