Instructions to use Rodo-Sami/1e4d9a96-1e67-4e04-9a16-545c4c1d68a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rodo-Sami/1e4d9a96-1e67-4e04-9a16-545c4c1d68a1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceM4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "Rodo-Sami/1e4d9a96-1e67-4e04-9a16-545c4c1d68a1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00c84f54f393cc6c2322d1cff9ef302cd937e228c0e05fc85b0c1827f0926182
- Size of remote file:
- 104 kB
- SHA256:
- d5b38d0071b36f4f41487df229d617ab2766fa4a302d597b3e427ef2d43b4317
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