modelsFeb 14
How to train a new language model from scratch using Transformers and Tokenizers
The Hugging Face Transformers and Tokenizers libraries provide tools to train a new language model from scratch. You can use these libraries to design and implement a custom training pipeline. The process involves data preparation, model architecture selection, and hyperparameter tuning. A trained model can be shared on the Hugging Face Hub.
Key takeaways
- Use Transformers and Tokenizers for custom model training.
- Data preparation is a key step in the training process.
- Trained models can be shared on the Hugging Face Hub.