Instructions to use eeeebbb2/5e4faf5d-208d-4dd8-ac2f-dce1d9618c0c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/5e4faf5d-208d-4dd8-ac2f-dce1d9618c0c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "eeeebbb2/5e4faf5d-208d-4dd8-ac2f-dce1d9618c0c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 263b10d2430c301befc7eb35f7a65b341e8fc017794273b358cd084aa80ce838
- Size of remote file:
- 104 kB
- SHA256:
- c05d80ab0430266954e6b9ba684c583550df2d7c5781f35576cf15b933414e25
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