Instructions to use MentaCapture/p4a-last with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MentaCapture/p4a-last with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-4-mini-instruct") model = PeftModel.from_pretrained(base_model, "MentaCapture/p4a-last") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e0643acc564bb0bb41e1fc82b35b0bd1824a89e58d3969295aa23a3d1d373d5
- Size of remote file:
- 15.5 MB
- SHA256:
- 382cc235b56c725945e149cc25f191da667c836655efd0857b004320e90e91ea
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