metadata
tags:
- sentence-transformers
- feature-extraction
TODO: Name of Model
TODO: Description
Model Description
TODO: Add relevant content
(0) Base Transformer Type: DistilBertModel (1) Pooling mean (2) Dense 768x512
Usage (Sentence-Transformers)
Using this model becomes more convenient 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"]
model = SentenceTransformer(TODO)
embeddings = model.encode(sentences)
print(embeddings)