Instructions to use CheapsetZero/6edc97b7-26b3-41b1-a92f-a6408924bbf3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CheapsetZero/6edc97b7-26b3-41b1-a92f-a6408924bbf3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "CheapsetZero/6edc97b7-26b3-41b1-a92f-a6408924bbf3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aeb79dbf98083b2d70844610057989c8fd463a8acdf8cfbeae39c84c9d2ebce1
- Size of remote file:
- 84 MB
- SHA256:
- 02abe904a20ae5b5782679fa76a909ca81ba7c61eb91ce176b6d5fce280f27da
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