Instructions to use Fischerboot/llama3-c1-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fischerboot/llama3-c1-full with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Essacheez/LLAMA3-8b-LIMA-Alpaca-style") model = PeftModel.from_pretrained(base_model, "Fischerboot/llama3-c1-full") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2653b5d68ad894bebf2dea0e33dfef96f4ac3666c7cd8b6c89f36d5db952d07
- Size of remote file:
- 168 MB
- SHA256:
- fdab8262ce79303f0be492ac5c4db86724b210ccb503c13248961e9dce4ab156
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