Instructions to use sgonzalezsilot/FakeNewsDetection_Constraint_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgonzalezsilot/FakeNewsDetection_Constraint_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sgonzalezsilot/FakeNewsDetection_Constraint_NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sgonzalezsilot/FakeNewsDetection_Constraint_NER") model = AutoModelForSequenceClassification.from_pretrained("sgonzalezsilot/FakeNewsDetection_Constraint_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload tokenizer
Verified signature930ffb9 -
Training in progress, epoch 5
Verified signatureaa88735 -
Training in progress, epoch 4
Verified signature415afa7 -
Training in progress, epoch 3
Verified signaturef1dce26 -
Training in progress, epoch 2
Verified signaturef3c45e9 -
Training in progress, epoch 1
Verified signature615a6df -
initial commit
Verified signature304a1b6