Write a custom embedding model using SentenceTransformers

Question

With the help of code can you tell me Write a custom embedding model using SentenceTransformers.

Answer 1

You can build a custom embedding model using SentenceTransformers by defining your own transformer backbone and pooling strategy.

Here is the code snippet below:

In the above code we are using the following key points:

• models.Transformer to load a base transformer like BERT.

• models.Pooling to define how sentence embeddings are aggregated.

• SentenceTransformer to combine transformer and pooling into one model.

• .encode() to generate embeddings for input sentences.

Hence, this approach enables flexible creation of sentence embedding models tailored to specific tasks or datasets.