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Spider
This is the unsupervised pretrained model discussed in our paper Learning to Retrieve Passages without Supervision.
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:
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)
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