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:
- 67c1b3af223f8fbd91d1d53131680f0e6b040ce7e761d24e60c178aac81cae89
- Size of remote file:
- 5.14 kB
- SHA256:
- 033534501afcab0521199d3c0685a5e811f2a297a318bad85be0999d18aac32c
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