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:
- 1553aa6369d757353381be75d05c3c86ebd1f2104552596255b5532d5ed9df3a
- Size of remote file:
- 25.2 MB
- SHA256:
- ce21ffd5a7c5857b062193fe0933bfffa42a995c930787eb31aac23a793c7017
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