Instructions to use shrijayan/phi2_databricks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shrijayan/phi2_databricks with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "shrijayan/phi2_databricks") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 190be54ed942427ef950d61e3570491c0e3d5bf875c1c99f6f85d6b71dac8934
- Size of remote file:
- 1.06 kB
- SHA256:
- c7b5bf190dc871967c45091d9f1ab233b2d2ed62baca21fee5dfedb5718ffa5d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.