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:
- 78bc5eeb98a064ad3f7c388fad732dc8288a5cc89b2362b65c2e5e09303928c7
- Size of remote file:
- 671 MB
- SHA256:
- 3f88d0ca7df1753b0179e7237d1eb0e0705ea85ed58d682b1e45d83188a4b6af
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