Instructions to use savage1221/aa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use savage1221/aa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "savage1221/aa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fef5e7a0733532f3a1414dfa613cfecc25c3aa1b072efb6846d188caaf950de9
- Size of remote file:
- 5.37 kB
- SHA256:
- 4541efeac5037a46f1ef40ee03d3ab285f19825633c8af3fc7a780c626ff7f0d
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