# {MODEL_NAME}

This is a sentence-transformers model: It maps sentences & paragraphs to a None dimensional dense vector space and can be used for tasks like clustering or semantic search.

## Usage (Sentence-Transformers)

Using this model becomes easy when you have sentence-transformers installed:

pip install -U sentence-transformers


Then you can use the model like this:

from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]

model = SentenceTransformer('{MODEL_NAME}')
embeddings = model.encode(sentences)
print(embeddings)


## Evaluation Results

For an automated evaluation of this model, see the Sentence Embeddings Benchmark: https://seb.sbert.net

## Full Model Architecture

SentenceTransformer(
(0): CLIPModel()
)