Text Classification
Transformers
PyTorch
TensorBoard
Indonesian
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier") model = AutoModelForSequenceClassification.from_pretrained("hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ebb280dc80bbfd5e120c65a39b627e46d9e2ad4040242f159496b9847954765
- Size of remote file:
- 498 MB
- SHA256:
- fe63700ea2978388711a77cef7cc59e54c096a7c3d2dd6f3cf9870a44efdbc3c
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