Instructions to use amanuelbyte/omnivoice-lora-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amanuelbyte/omnivoice-lora-ar 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-ar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3327f7b81f05e8d2efda3f0e2d28be6053460238bf4bc9aa4a1297b051ef20d8
- Size of remote file:
- 296 MB
- SHA256:
- 6b4b47651554111a1092b884c6d177a7bcc911aa4c2799ee32433f2b1c0231b4
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