Instructions to use thenlpresearcher/final_gemma_sequence_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thenlpresearcher/final_gemma_sequence_classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("google/gemma-2-9b") model = PeftModel.from_pretrained(base_model, "thenlpresearcher/final_gemma_sequence_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edd37234a02f1455199f7383c60b42e82a1d8bfea885740fc026f77b5ccf0d40
- Size of remote file:
- 34.4 MB
- SHA256:
- 085650994996457a41c4d8afe1c176ce5cf368282f94cc040adad1fe06102283
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.