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:
- ce7763f01e52425e5073e13cfdbe6c2af392a958485e93586dfe64b0dba2c8e5
- Size of remote file:
- 734 kB
- SHA256:
- 8ad348a23d8565565a5ee6f06d49b3408083aa05e4ff6bfcca26597ef328acc0
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