Instructions to use bob-bob-bob-3/nasiuduk2024_indobtwt_7_u_o with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bob-bob-bob-3/nasiuduk2024_indobtwt_7_u_o with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bob-bob-bob-3/nasiuduk2024_indobtwt_7_u_o")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bob-bob-bob-3/nasiuduk2024_indobtwt_7_u_o") model = AutoModelForSequenceClassification.from_pretrained("bob-bob-bob-3/nasiuduk2024_indobtwt_7_u_o") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ecbe414bc9cad2b214fa0e276114318551b19ff2525281311c50b9dfe01d3a1
- Size of remote file:
- 5.18 kB
- SHA256:
- 42825d76bb033478f3098aec6ba2589f272aa8747a4e417fb7a12355d251eb4a
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