Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
language
|
| gptkbp:developedBy |
gptkb:Facebook_AI_Research
|
| gptkbp:has |
Regular updates
Active community Extensive documentation Multiple language support Active contributors |
| https://www.w3.org/2000/01/rdf-schema#label |
Fairseq
|
| gptkbp:includes |
Data preprocessing tools
|
| gptkbp:isAvailableIn |
GitHub
|
| gptkbp:isCompatibleWith |
gptkb:PyTorch
|
| gptkbp:isKnownFor |
Flexibility
Scalability Ease of use High performance |
| gptkbp:isPartOf |
AI research ecosystem
|
| gptkbp:isRelatedTo |
Artificial intelligence
Deep learning Machine learning NLP_tasks |
| gptkbp:isSupportedBy |
Conferences
Workshops Webinars Community forums Online tutorials |
| gptkbp:isUsedBy |
Developers
Researchers Data scientists |
| gptkbp:isUsedIn |
Academic research
Industry applications Commercial products |
| gptkbp:provides |
Pre-trained models
Evaluation metrics Custom training scripts |
| gptkbp:publishedIn |
Python
|
| gptkbp:releasedIn |
2019
|
| gptkbp:supports |
gptkb:Convolutional_Neural_Networks
Speech recognition Text classification Tokenization Batch processing Language modeling Transfer learning Fine-tuning Text generation Distributed training Image captioning Mixed precision training Multi-GPU training GPT-2 model RoBERTa model Sequence-to-sequence models Transformer models BART_model |
| gptkbp:usedFor |
Natural Language Processing
|