Instructions to use Fischerboot/ll3-c2-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fischerboot/ll3-c2-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Fischerboot/llama3-carlodda-v1") model = PeftModel.from_pretrained(base_model, "Fischerboot/ll3-c2-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c147dd87ba4c701bc7dcf9ce6c560b348d55494922548451d0e4185b6ec826a
- Size of remote file:
- 168 MB
- SHA256:
- 7051634ee24e30f620aa946749cc6b7d352ce5f9aca81d2451d6b74ee2e712f5
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