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:
- e9766ef5322bd4f26ae4d42e64402a057932b6a77bb6e2776e562feddb189d67
- Size of remote file:
- 71.4 MB
- SHA256:
- 75e8486cd5e4a5175379584a4c4e9354e079ac714b52a0e5086895d6ba81bb55
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