Instructions to use il1a/BERT_Fake_News_Classification_LoRA_v2 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_v2 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_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d793d6e7f3d799522973501ccce9eefec4795b370cc75799224673541a3bd527
- Size of remote file:
- 2.83 MB
- SHA256:
- 43ab286e50ac200a22c81779cc4c517188c0d93d9f5faf72a777e6e6b16105e1
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