 Usage ```python from transformers import DPRContextEncoder, DPRContextEncoderTokenizer  tokenizer = DPRContextEncoderTokenizer.from_pretrained("vblagoje/dpr-ctx_encoder-single-lfqa-wiki") model = DPRContextEncoder.from_pretrained("vblagoje/dpr-ctx_encoder-single-lfqa-wiki") input_ids = tokenizer("Where an aircraft passes through a cloud, it can disperse the cloud in its path...", return_tensors="pt")["input_ids"] embeddings = model(input_ids).pooler_output ``` 