Instructions to use plaguss/mocked with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use plaguss/mocked with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("prajjwal1/bert-tiny") model = PeftModel.from_pretrained(base_model, "plaguss/mocked") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68403bd08a46000390ac22627c705b590e3be7eda883638adbde5e5352756358
- Size of remote file:
- 17.6 MB
- SHA256:
- 6ce94de2b46fe5c4ebd7048c039bda8eed561a6adc2d6e64156871a511457ddd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.