That particular Wav2Vec model only provides the pre-trained representation vectors and doesn't have a fine-tuned CTC/speech recognition model:

Note that this model should be fine-tuned on a downstream task, like Automatic Speech Recognition.

jonatasgrosman/wav2vec2-large-xlsr-53-english is a popular fine-tuned CTC model for English based on Wav2Vec2 XLSR, and models for other languages have also been trained.

If you want to use the output of the model anyway (just getting feature vectors from audio), use a Wav2Vec2FeatureExtractor instead of Wav2Vec2Processor, and Wav2Vec2Model instead of Wav2Vec2ForCTC.

(A Wav2Vec2Processor combines a FeatureExtractor and a Tokenizer [docs]. Since tokenization depends on the task the model is fine-tuned for, a speech model that isn't fine-tuned often doesn't have a tokenizer. Credit to @mmbejani on Github for this info.)