readme: ---
  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](https://github.com/UKPLab/sentence-transformers) installed:
  
  ```
  pip install -U sentence-transformers
  ```
  
  Then you can use the model like this:
  
  ```python
  from sentence_transformers import SentenceTransformer
  sentences = ["This is an example sentence"]
  
  model = SentenceTransformer(TODO)
  embeddings = model.encode(sentences)
  print(embeddings)
  ```
  
  ## TODO: Training Procedure
  
  ## TODO: Evaluation Results
  
  ## TODO: Citing & Authors
  