Instructions to use amanuelbyte/omnivoice-lora-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amanuelbyte/omnivoice-lora-zh with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("k2-fsa/OmniVoice") model = PeftModel.from_pretrained(base_model, "amanuelbyte/omnivoice-lora-zh") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27985178908d9964d205ca96afdb86b6bfbec69a3db6129d6393746f9f54a9c8
- Size of remote file:
- 296 MB
- SHA256:
- 75b32b53f769a95b6ae3789c8337b900c4707ce0a1017edc8e10ba79d06b3dc5
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