Instructions to use thenlpresearcher/gemma_sequence_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thenlpresearcher/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/gemma_sequence_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e2a006412a4c1033d2b8f53c0f9ec0d6e29f549c6dfa476a2a30a3fd5a3143e
- Size of remote file:
- 5.24 kB
- SHA256:
- 8052771389114148da002573e3635b3eec11b508c9ee48057908c2d2e0d2af3e
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