How to use student2008/whisper-tiny-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="student2008/whisper-tiny-es")
# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("student2008/whisper-tiny-es") model = AutoModelForSpeechSeq2Seq.from_pretrained("student2008/whisper-tiny-es")