Instructions to use dimasik87/76ef6c6c-3eaa-4c17-bf3c-448f7ef703e2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/76ef6c6c-3eaa-4c17-bf3c-448f7ef703e2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "dimasik87/76ef6c6c-3eaa-4c17-bf3c-448f7ef703e2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8d7e2b964a5010fa42fb762729c30e931c5cbc4ad9bc2bf2f9c1e4e1b04ab3d
- Size of remote file:
- 6.78 kB
- SHA256:
- b83377fb305a9680c984ec401d38bd4f7adc7481ec83a30c50476ce0b050c5ea
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