Is there any way to execute Wav2Vec2 CTC (facebook/wav2vec2-base-100h) on c++?

[AntiAnti]

This is what I execute on python.

model = AutoModelForCTC.from_pretrained("facebook/wav2vec2-base-100h")
tokenizer = AutoTokenizer.from_pretrained("facebook/wav2vec2-base-100h")
feature_extractor = AutoFeatureExtractor.from_pretrained("facebook/wav2vec2-base-100h")

audio_input, sample_rate = sf.read("1320_00000.wav")
input_values = feature_extractor(audio_input, sampling_rate=16_000, return_tensors="pt").input_values
logits = model(input_values).logits[0]
pred_ids = torch.argmax(logits, axis=-1)
outputs = tokenizer.decode(pred_ids, output_char_offsets=True)

I'm noob in ML. And I can't use whisper. I need character alignment data, and whisper operates with words.