Instructions to use arifagustyawan/sentiment-roberta-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arifagustyawan/sentiment-roberta-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arifagustyawan/sentiment-roberta-id")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arifagustyawan/sentiment-roberta-id") model = AutoModelForSequenceClassification.from_pretrained("arifagustyawan/sentiment-roberta-id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from arifagustyawan/sentiment-roberta-id: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/arifagustyawan/sentiment-roberta-id/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://arifagustyawan/sentiment-roberta-id/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/arifagustyawan/sentiment-roberta-id/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 4a6f354220d7591a91686634d982b631e837a5f9b2cd7cdbb69d854916a9dd45
- Size of remote file:
- 499 MB
- SHA256:
- d0ce4b3f49770e28fe706638e01aecdac3fb6a4d5b8b09514e6c509e8fe3033a
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