Difference between models

[seanf]

Hi, what is the difference between these two models? One (sentence-msmarco-bert-base-dot-v5-nlpl-code_search_net) is used in the code, the other (sentence-t5-base-nlpl-code_search_net) is listed in the readme, but doesn't appear to be used.

In the code:

• semantic-code-search/src/semantic_code_search/cli.py

  Line 51 in 6434ef7

  parser.add_argument('-m', '--model-name-or-path', metavar='MODEL', default='krlvi/sentence-msmarco-bert-base-dot-v5-nlpl-code_search_net',

In the readme:

• semantic-code-search/README.md

  Line 182 in 6434ef7

  The application uses [sentence transformer](https://www.sbert.net/) model architecture to produce 'sentence' embeddings for functions and queries. The particular model is [krlvi/sentence-t5-base-nlpl-code_search_net](https://huggingface.co/krlvi/sentence-t5-base-nlpl-code_search_net) which is based of a [SentenceT5-Base](https://github.com/google-research/t5x_retrieval#released-model-checkpoints) checkpoint with 110M parameters and a pooling layer.