Text Classification
Transformers
Safetensors
Indonesian
bert
sentiment-analysis
indonesian
indobert
app-reviews
google-play
Eval Results (legacy)
text-embeddings-inference
Instructions to use dimeneid/kawantumbuh-sentimen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dimeneid/kawantumbuh-sentimen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dimeneid/kawantumbuh-sentimen")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dimeneid/kawantumbuh-sentimen") model = AutoModelForSequenceClassification.from_pretrained("dimeneid/kawantumbuh-sentimen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K