Clarification on default embedding model when --model is not specified

[dataelvisliang]

Hi Embedding Atlas team,

Thanks for the great tool! I have a quick clarification question:

When running Embedding Atlas without specifying the --model parameter (or the model argument in Python), the documentation states that it falls back to a Sentence-Transformers model. However, it’s not clear which specific Sentence-Transformers model is being used by default.
• Could you confirm the exact default model name (e.g., sentence-transformers/all-MiniLM-L6-v2, all-mpnet-base-v2, etc.)?
• If the default is subject to change, would you consider documenting it explicitly in the README or tool reference?

This would help ensure reproducibility and clarity for users who want to compare results across runs.

Thanks in advance!