Instructions to use ACE-Step/acestep-captioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACE-Step/acestep-captioner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="ACE-Step/acestep-captioner")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ACE-Step/acestep-captioner") model = AutoModelForMultimodalLM.from_pretrained("ACE-Step/acestep-captioner") - Notebooks
- Google Colab
- Kaggle
File size: 117 Bytes
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"eos_token_id": [
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"transformers_version": "4.53.3"
}
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