How to use hf-internal-testing/tiny-random-BarkModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="hf-internal-testing/tiny-random-BarkModel")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-BarkModel") model = AutoModelForTextToWaveform.from_pretrained("hf-internal-testing/tiny-random-BarkModel", device_map="auto")
https://huggingface.co/hf-internal-testing/tiny-random-BarkModel/resolve/cddc997faa8d50af403cd164ce4c45feb73c0eaa/generation_config.json
hf download hf://hf-internal-testing/tiny-random-BarkModel@cddc997faa8d50af403cd164ce4c45feb73c0eaa/generation_config.json
curl -L -o generation_config.json https://huggingface.co/hf-internal-testing/tiny-random-BarkModel/resolve/cddc997faa8d50af403cd164ce4c45feb73c0eaa/generation_config.json
