You say: "Currently we only support models for inverting OpenAI text-embedding-ada-002 embeddings but are hoping to add more soon. (We can provide the GTR inverters used in the paper upon request.)".
I want to use a different embeddings model (in my case, BAAI/bge-m3 - using 1024 dimensions) - does the training procedure work the same?
Or would I need to adjust it / use different base models?
And could you share your code for training step 0?
You say: "Currently we only support models for inverting OpenAI text-embedding-ada-002 embeddings but are hoping to add more soon. (We can provide the GTR inverters used in the paper upon request.)".
I want to use a different embeddings model (in my case, BAAI/bge-m3 - using 1024 dimensions) - does the training procedure work the same?
Or would I need to adjust it / use different base models?
And could you share your code for training step 0?