Instructions to use jnjj/xd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jnjj/xd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jnjj/skskskskskksksks") model = PeftModel.from_pretrained(base_model, "jnjj/xd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e34d86b85b44b8d531da5d22b99eaf2a7b325eef11d4c9d41e6b1707f7437932
- Size of remote file:
- 5.43 kB
- SHA256:
- 29c48468cb26240b7e87ed5b72ef674efe700788d1b2a6ba38cba3f7a4ab6824
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