Text Classification
Transformers
PyTorch
TensorFlow
Indonesian
roberta
indonesian-roberta-base-sentiment-classifier
text-embeddings-inference
Instructions to use sahri/indonesiasentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sahri/indonesiasentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sahri/indonesiasentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sahri/indonesiasentiment") model = AutoModelForSequenceClassification.from_pretrained("sahri/indonesiasentiment") - Notebooks
- Google Colab
- Kaggle
Request: DOI
#2 opened about 2 years ago
by
dannysebastian
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot