Transformers are neural networks that learn context and understanding through sequential data analysis. The Transformer models use a modern and evolving mathematical techniques set, generally known as attention or self-attention. This set helps identify how distant data elements influence and depend on one another. Transformers have revolutionized the world of natural language processing (NLP)
The architecture described in the paper Attention Is All You Need consists of an encoder and decoder.
Serialization and save
- Secure problem with pickle
- Safetensors
OCR
- Donut model was proposed in OCR-free Document Understanding Transformer\