How to use webshell/wav2vec2-base-fine-tune-timit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="webshell/wav2vec2-base-fine-tune-timit")
# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("webshell/wav2vec2-base-fine-tune-timit") model = AutoModelForCTC.from_pretrained("webshell/wav2vec2-base-fine-tune-timit")