API Reference
Create Sparse Embedding
Get sparse embeddings. Returns a 424 status code if the model is not a SPLADE embedding model
Generating an embedding from a sparse embedding model. The main ones that we support are SPLADE models.
Inputs that need to be embedded
The name of the prompt that should be used by for encoding. If not set, no prompt will be applied.
Must be a key in the sentence-transformers
configuration prompts dictionary.
For example if prompt_name
is “doc” then the sentence “How to get fast inference?” will be encoded as “doc: How to get fast inference?” because the prompt text will be prepended before any text to encode.
Automatically truncate inputs that are longer than the maximum supported size