Instructions to use il1a/BERT_Fake_News_Classification_LoRA_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use il1a/BERT_Fake_News_Classification_LoRA_v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("bert-base-uncased") model = PeftModel.from_pretrained(base_model, "il1a/BERT_Fake_News_Classification_LoRA_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79a609a84748e180054f85a144a4be96062eb1e316959b0f618e20efac04559a
- Size of remote file:
- 2.83 MB
- SHA256:
- 40e6652a2418720e6fbbe0074d92ed4bdf840199a7a7e522d9792061a1f3aa99
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