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
File size: 129 Bytes
e9abff0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e5e7d8f743d082ab2e19561f3ffadd3c7f9b91acf1d6f1a030444efa14e0b53b
size 5304
|