Text Classification
Transformers
Safetensors
English
bert
fake-and-real-news
detector
text-embeddings-inference
Instructions to use KenLumod/ML-Project-Fake-Real-News-Detector-Final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KenLumod/ML-Project-Fake-Real-News-Detector-Final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KenLumod/ML-Project-Fake-Real-News-Detector-Final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KenLumod/ML-Project-Fake-Real-News-Detector-Final") model = AutoModelForSequenceClassification.from_pretrained("KenLumod/ML-Project-Fake-Real-News-Detector-Final") - Notebooks
- Google Colab
- Kaggle
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Model tree for KenLumod/ML-Project-Fake-Real-News-Detector-Final
Base model
google-bert/bert-base-uncased