MBart
MBart is a sequence-to-sequence denoising auto-encoder pretrained model for neural machine translation.
December 29th, 2024
About MBart
MBart is a state-of-the-art sequence-to-sequence denoising auto-encoder pretrained model designed for neural machine translation tasks. It is pretrained on large-scale monolingual corpora in many languages using the BART (Bidirectional and Auto-Regressive Transformers) model architecture.
MBart learns to generate high-quality translations by denoising corrupted versions of sentences in multiple languages. The model is trained on a large amount of monolingual data, enabling it to capture cross-l...
MBart learns to generate high-quality translations by denoising corrupted versions of sentences in multiple languages. The model is trained on a large amount of monolingual data, enabling it to capture cross-l...
Key Features
- Sequence-to-sequence denoising auto-encoder.
- Pretrained on large-scale monolingual corpora.
- Supports multiple languages.
- Transfer learning for improved translation performance.
Use Cases
- Neural machine translation.
- Cross-lingual transfer learning.
- Improving translation quality.
- Low-resource language translation.
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