Instructions to use jgayed/llama_lorafull120 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jgayed/llama_lorafull120 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.3-70B-Instruct") model = PeftModel.from_pretrained(base_model, "jgayed/llama_lorafull120") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f64270df343e48dfcab9e5afdc73e2b9c91c7402ef5ca791ab690d75579ac704
- Size of remote file:
- 7.67 kB
- SHA256:
- 9e1a9aa7c7dd523361b686bd6e5951cadef3ea5e759fadc1126f1642f521e74e
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