Instructions to use Chiaki111/phi4-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Chiaki111/phi4-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("microsoft/Phi-4-mini-instruct") model = PeftModel.from_pretrained(base_model, "Chiaki111/phi4-lora") - Transformers
How to use Chiaki111/phi4-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Chiaki111/phi4-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa5ce41a2e23b7f143c67a440fdf3a5a4898ab3beb350b2777006e3d60e000b4
- Size of remote file:
- 25.2 MB
- SHA256:
- ecfa1c3281277e1473512d0dc93126f4d0329444a30025f98e736b3ad571ddf8
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