Language Models
mBERT
Introduced by Devlin et al. in BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| XLM-R | 45 | 9.53% |
| Cross-Lingual Transfer | 37 | 7.84% |
| Language Modelling | 29 | 6.14% |
| Zero-Shot Cross-Lingual Transfer | 22 | 4.66% |
| NER | 17 | 3.60% |
| Named Entity Recognition (NER) | 16 | 3.39% |
| Sentiment Analysis | 16 | 3.39% |
| Sentence | 16 | 3.39% |
| POS Tagging | 13 | 2.75% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
