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:
- c9a8cdcb2664690cb13a904717043f1ead640737bd1924e22784e54d67287cd6
- Size of remote file:
- 6.78 kB
- SHA256:
- 8ee176664bc4a805ab3432ac43ad046636d443cd3a875c567067b98b75f429d7
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