Instructions to use Alfanatasya/results_indobert-large-p1_with_preprocess_augmentasi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alfanatasya/results_indobert-large-p1_with_preprocess_augmentasi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alfanatasya/results_indobert-large-p1_with_preprocess_augmentasi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alfanatasya/results_indobert-large-p1_with_preprocess_augmentasi") model = AutoModelForSequenceClassification.from_pretrained("Alfanatasya/results_indobert-large-p1_with_preprocess_augmentasi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15c885afb709b92412d58ed6f98afaa875d148296475b78fb19dd7ceb00b2e52
- Size of remote file:
- 5.3 kB
- SHA256:
- e5e7d8f743d082ab2e19561f3ffadd3c7f9b91acf1d6f1a030444efa14e0b53b
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