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:
- 32aeba372f833277a32e724f5f3129ff3c776aa5c6eb0bae7e6d98f247543ba5
- Size of remote file:
- 50.6 MB
- SHA256:
- 25d9a968a712278fe1a58c71e4b2457c72730628aec58d7ce322b63e56b87d25
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