OpusMT-Es-En
OpusMT Spanish to English neural machine translation model based on MarianMT transformer architecture.
OpusMT Spanish to English translation model is a state‑of‑the‑art neural machine translation system designed for translating Spanish text into English. This model is based on the Marian transformer architecture and has been optimized for edge inference by splitting into encoder and decoder components with modified attention mechanisms. It exhibits robust performance for real‑world translation tasks, making it highly reliable for practical applications. The model supports input sequences up to 256 tokens and can generate English translations with high accuracy.
Technical Details
Model checkpoint:Helsinki-NLP/opus-mt-es-en
Input resolution:256 tokens (Spanish text)
Max input sequence length:256 tokens
Max output sequence length:256 tokens
Number of parameters (OpusMTEncoder):~74M
Model size (OpusMTEncoder) (float):~280 MB
Number of parameters (OpusMTDecoder):~74M
Model size (OpusMTDecoder) (float):~280 MB
Number of encoder layers:6
Number of decoder layers:6
Attention heads:8
Hidden dimension:512
Applicable Scenarios
- Smart Home
- Accessibility
License
Model:APACHE-2.0
Tags
- foundation
Supported Automotive Devices
- SA7255P ADP
- SA8295P ADP
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8295P
- Qualcomm® SA8775P
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