How to use hf-internal-testing/tiny-random-wav2vec2-conformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-internal-testing/tiny-random-wav2vec2-conformer")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-wav2vec2-conformer") model = AutoModelForCTC.from_pretrained("hf-internal-testing/tiny-random-wav2vec2-conformer", device_map="auto")
