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")# pip install -U transformers accelerate # 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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from w11wo/indonesian-roberta-base-sentiment-classifier: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://w11wo/indonesian-roberta-base-sentiment-classifier/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- c107a383eedbbc10a92adcbee677f976c1a998f129511a72823bd40ee3176f5e
- Size of remote file:
- 499 MB
- SHA256:
- 877748bfa92200b466d222974b803db7ad09da5ebd4336ef8010256457682693
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