How to use the ctranslate2.specs.model_spec.OPTIONAL function in ctranslate2
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OpenNMT / CTranslate2 / python / ctranslate2 / specs / transformer_spec.py View on Github 
def __init__(self):
self.encodings = model_spec.OPTIONALctranslate2
Fast inference engine for Transformer models
Package Health Score
88 / 100Popular ctranslate2 functions
- ctranslate2.converters
- ctranslate2.converters.Converter
- ctranslate2.converters.converter.Converter
- ctranslate2.converters.utils
- ctranslate2.specs.attention_spec
- ctranslate2.specs.attention_spec.MultiHeadAttentionSpec
- ctranslate2.specs.catalog
- ctranslate2.specs.common_spec
- ctranslate2.specs.common_spec.EmbeddingsSpec
- ctranslate2.specs.common_spec.LayerNormSpec
- ctranslate2.specs.common_spec.LinearSpec
- ctranslate2.specs.model_spec
- ctranslate2.specs.model_spec.LayerSpec
- ctranslate2.specs.model_spec.ModelSpec
- ctranslate2.specs.model_spec.OPTIONAL
- ctranslate2.specs.transformer_spec
- ctranslate2.specs.transformer_spec.TransformerSpec