Instructions to use pkbiswas/Phi-3-Summarization-QLoRa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pkbiswas/Phi-3-Summarization-QLoRa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "pkbiswas/Phi-3-Summarization-QLoRa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9fe8e849b6d89fd0bac1517c59e47639c1c7581d199f53c51b3d827711ce17e
- Size of remote file:
- 50.4 MB
- SHA256:
- 80181db30e77f0da091fb12752b5029659368587ef4baeec330729125c414596
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