I use the script below to convert text to embeddings
vec2text_model = EmbeddingToTextModelPipeline(decoder="text_sonar_basic_decoder",
tokenizer="text_sonar_basic_encoder")
But ı get a error message like this;
fairseq2.assets.error.AssetError: The checkpoint of text_sonar_basic_decoder cannot be loaded. See nested exception for details.
I use the script below to convert text to embeddings vec2text_model = EmbeddingToTextModelPipeline(decoder="text_sonar_basic_decoder", tokenizer="text_sonar_basic_encoder") But ı get a error message like this; fairseq2.assets.error.AssetError: The checkpoint of text_sonar_basic_decoder cannot be loaded. See nested exception for details.