How to use switlydev/custom-stt-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="switlydev/custom-stt-model")
# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("switlydev/custom-stt-model") model = AutoModelForSpeechSeq2Seq.from_pretrained("switlydev/custom-stt-model", device_map="auto")
