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:
- 741e81643f4847f91e401d22c786a8999904df6f68c8a7d7112da91232fc3157
- Size of remote file:
- 25.2 MB
- SHA256:
- 8f9e8658919ec83d372c14a1f908a820529ee7b5052631dfb8d597f18bd417b4
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