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:
- 266de44bc96ad6671980f88d93b949493ea2a21b1899cf6b2c3e2c3c86b72c79
- Size of remote file:
- 3.64 kB
- SHA256:
- 882ebf902def44e1202bdd91fe3d8b127a7681395520451855c553ef798edde8
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