Instructions to use ayousanz/microsoft-phi-2-gozaru-fine-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ayousanz/microsoft-phi-2-gozaru-fine-tuning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "ayousanz/microsoft-phi-2-gozaru-fine-tuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 987af4f5d068bff0be3e1d0fe28a5be598aaf52b7ab0902e271284a10ae87712
- Size of remote file:
- 4.92 kB
- SHA256:
- 756d63bef54efc2896b4abb6b08cfa66c51756871131daf0fbe27c4b8fdb541a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.