Instructions to use 1-lock/f1870551-e865-4496-82eb-3122c4c5fe07 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/f1870551-e865-4496-82eb-3122c4c5fe07 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "1-lock/f1870551-e865-4496-82eb-3122c4c5fe07") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2614df5e9a46e94163eb12fe04c1d60a2f3e813191f51862186c7c4195bc6682
- Size of remote file:
- 6.84 kB
- SHA256:
- 2b41042ced73c98c1ad66339edb9abee582587f4c27acef63593f2443eae3063
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