readme: # Spider
  
  This is the unsupervised pretrained model discussed in our paper [Learning to Retrieve Passages without Supervision](https://arxiv.org/abs/2112.07708).
  
  ## Usage
  
  We used weight sharing for the query encoder and passage encoder, so the same model should be applied for both.
  
  **Note**! We format the passages similar to DPR, i.e. the title and the text are separated by a `[SEP]` token, but token 
  type ids are all 0-s. 
  
  An example usage:
  
  ```python
  from transformers import AutoTokenizer, DPRContextEncoder
  
  tokenizer = AutoTokenizer.from_pretrained("tau/spider")
  model = DPRContextEncoder.from_pretrained("tau/spider")
  
  input_dict = tokenizer("title", "text", return_tensors="pt")
  del input_dict["token_type_ids"]
  
  outputs = model(**input_dict)
  ```
  