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Transformers.jl is a Julia library that implements Transformer models for natural language processing tasks. Inspired by architectures like BERT, GPT, and T5, the library offers a modular and flexible interface for building, training, and using transformer-based deep learning models. It supports training from scratch and fine-tuning pretrained models, and integrates with Flux.jl for automatic differentiation and optimization.
Features
- Implements standard Transformer architectures (BERT, GPT, etc.)
- Modular design for custom model configuration
- Pretraining and fine-tuning capabilities
- Tokenization and positional encoding support
- Compatible with Flux.jl and automatic differentiation
- Support for GPU acceleration via CUDA.jl
Project Samples
Categories
Natural Language Processing (NLP)License
MIT LicenseFollow Transformers.jl
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