Instructions to use dimasik87/c08a2874-e0c6-40b4-9cf2-cc19aca057c7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/c08a2874-e0c6-40b4-9cf2-cc19aca057c7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "dimasik87/c08a2874-e0c6-40b4-9cf2-cc19aca057c7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b385f794852c83625549178abc9a07f4f7810090822f709cd721ca345186ce5
- Size of remote file:
- 6.78 kB
- SHA256:
- 31536b16eea584efec69e038062b63185edf4eebcadad995b5a5b8d99e2e4ea0
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