Text Classification
Transformers
PyTorch
TensorFlow
Safetensors
Indonesian
roberta
indonesian-roberta-base-sentiment-classifier
text-embeddings-inference
Instructions to use w11wo/indonesian-roberta-base-sentiment-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use w11wo/indonesian-roberta-base-sentiment-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="w11wo/indonesian-roberta-base-sentiment-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("w11wo/indonesian-roberta-base-sentiment-classifier") model = AutoModelForSequenceClassification.from_pretrained("w11wo/indonesian-roberta-base-sentiment-classifier") - Inference
- Notebooks
- Google Colab
- Kaggle
back translate id-en
Browse files- pytorch_model.bin +1 -1
- tf_model.h5 +1 -1
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