Instructions to use Alfanatasya/results_indobert_emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alfanatasya/results_indobert_emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alfanatasya/results_indobert_emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alfanatasya/results_indobert_emotion") model = AutoModelForSequenceClassification.from_pretrained("Alfanatasya/results_indobert_emotion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea0169bda474f2a10fb2902f100b160b26d72af88659d22a0235ec4f4e2eaee5
- Size of remote file:
- 5.24 kB
- SHA256:
- 9c538ae9c1ea817e1aec22a7196d6f234f8f820de09452e703b04e1461355d07
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