Text Classification
Transformers
Safetensors
Indonesian
English
multilingual
bert
mbert
utaut
technology-acceptance
indonesian
spam-detection
user-review-analysis
text-embeddings-inference
Instructions to use teguholix/BERTAUT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teguholix/BERTAUT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="teguholix/BERTAUT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("teguholix/BERTAUT") model = AutoModelForSequenceClassification.from_pretrained("teguholix/BERTAUT") - Notebooks
- Google Colab
- Kaggle