Instructions to use xck2020/sft-microsoft-phi2-on-dialogsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xck2020/sft-microsoft-phi2-on-dialogsum with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "xck2020/sft-microsoft-phi2-on-dialogsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 506365e8c141cc54e8f46dbbb005d52a9eaf0f9c94e1c053a855cb4fbd46a849
- Size of remote file:
- 94.4 MB
- SHA256:
- 971e747cc7c6719908de91433045a1a1d61cc3a2a0beafce966d72a212538e06
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.