Instructions to use CheapsetZero/5a9022d0-f07f-44eb-abb9-166cd1900db0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CheapsetZero/5a9022d0-f07f-44eb-abb9-166cd1900db0 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, "CheapsetZero/5a9022d0-f07f-44eb-abb9-166cd1900db0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c5f47c4ddf6dda2c4dbdb25bd7fb523cf23f94ee84204098966675c26bef5f8
- Size of remote file:
- 671 MB
- SHA256:
- 45b5871308fd62c9ce776c5b2f713014a11c1515ddd78f7ae11f5b160a273e18
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