textEncoder, DPRContextEncoderTokenizer

        >>> tokenizer = DPRContextEncoderTokenizer.from_pretrained("facebook/dpr-ctx_encoder-single-nq-base")
        >>> model = TFDPRContextEncoder.from_pretrained("facebook/dpr-ctx_encoder-single-nq-base", from_pt=True)
        >>> input_ids = tokenizer("Hello, is my dog cute ?", return_tensors="tf")["input_ids"]
        >>> embeddings = model(input_ids).pooler_output
        ```
        NúDYou cannot specify both input_ids and inputs_embeds at the same timer^