Text-to-Audio
Transformers
Safetensors
qwen3
text-generation
audio
music
text2music
text-generation-inference
Instructions to use Kriptotronics/acestep-5Hz-lm-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kriptotronics/acestep-5Hz-lm-4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Kriptotronics/acestep-5Hz-lm-4B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Kriptotronics/acestep-5Hz-lm-4B") model = AutoModelForCausalLM.from_pretrained("Kriptotronics/acestep-5Hz-lm-4B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d0ea85ee37d515583a92848d9cbeb5181a6294268201b2ea4317eff18812320
- Size of remote file:
- 14.1 MB
- SHA256:
- 6cd70cdd89425971794f5235562edcc608b0629a6c4686ae51a8b8c8b8ba5e95
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.