Text Classification
Transformers
TensorBoard
Safetensors
nlp
indonesian
hoax-detection
machine-learning
fact-checking
tfidf
Instructions to use theonegareth/IndoHoaxDetector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theonegareth/IndoHoaxDetector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="theonegareth/IndoHoaxDetector")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("theonegareth/IndoHoaxDetector", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload IndoHoaxDetector models: Logistic Regression, SVM, Random Forest, Naive Bayes, TF-IDF vectorizer, and fine-tuned IndoBERT
2bb3243 - Xet hash:
- a4d1827796fda8c4f72122b71f83ce90854c3d17c4171ab83e1eaa24e48fd7c1
- Size of remote file:
- 641 kB
- SHA256:
- f8e3a4506ecd3d8bf8fc85863aeb2235b5a0753ad5e92046c263179dec5daed9
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