Transformers
Charformer
Introduced by Tay et al. in Charformer: Fast Character Transformers via Gradient-based Subword TokenizationCharformer is a type of Transformer model that learns a subword tokenization end-to-end as part of the model. Specifically it uses GBST that automatically learns latent subword representations from characters in a data-driven fashion. Following GBST, the soft subword sequence is passed through Transformer layers.
Source: Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Decoder | 2 | 15.38% |
| NMT | 2 | 15.38% |
| Denoising | 1 | 7.69% |
| Image Denoising | 1 | 7.69% |
| Translation | 1 | 7.69% |
| Toxic Comment Classification | 1 | 7.69% |
| Linguistic Acceptability | 1 | 7.69% |
| Natural Language Inference | 1 | 7.69% |
| Paraphrase Identification | 1 | 7.69% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
Gradient-Based Subword Tokenization
|
Subword Segmentation | |
Transformer
|
Transformers |
