Text Classification
Transformers
PyTorch
TensorBoard
Indonesian
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use hanifnoerr/Kemenkeu-Sentiment-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanifnoerr/Kemenkeu-Sentiment-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hanifnoerr/Kemenkeu-Sentiment-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hanifnoerr/Kemenkeu-Sentiment-Classifier") model = AutoModelForSequenceClassification.from_pretrained("hanifnoerr/Kemenkeu-Sentiment-Classifier") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot