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 training_args.bin from arifagustyawan/sentiment-roberta-id: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/arifagustyawan/sentiment-roberta-id/resolve/main/training_args.bin
- Command line
-
hf download hf://arifagustyawan/sentiment-roberta-id/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arifagustyawan/sentiment-roberta-id/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 377577b438608429e294e039ae623f8e4eabcc8f12bfdd853a8adaa2aa430218
- Size of remote file:
- 3.58 kB
- SHA256:
- ae8e372ed91c18dc9ae17be5dea750ffc0e643f33aa5096a49bdf17a50e5475a
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