Instructions to use amanuelbyte/omnivoice-lora-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amanuelbyte/omnivoice-lora-fr 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-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba3721fafdce55c8a2dc5c9b83a7846c0298e0bbcb0e1b2bd17b48d314da1aca
- Size of remote file:
- 296 MB
- SHA256:
- 40423bd1aad90f4fca6d9caf397412fc92af84b7c8c873d8768c7f2c0761ca60
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