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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.
The text was updated successfully, but these errors were encountered:
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.
The text was updated successfully, but these errors were encountered: