Instructions to use bob-bob-bob-3/buburayam2024_indobtwt_7_reprsample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bob-bob-bob-3/buburayam2024_indobtwt_7_reprsample with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bob-bob-bob-3/buburayam2024_indobtwt_7_reprsample")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bob-bob-bob-3/buburayam2024_indobtwt_7_reprsample") model = AutoModelForSequenceClassification.from_pretrained("bob-bob-bob-3/buburayam2024_indobtwt_7_reprsample") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6b1a572522d4e42f968e5b542747d6ddd7013d9f5b3759c12e1ea8201b506a5
- Size of remote file:
- 442 MB
- SHA256:
- fa1393149f68aeeaed8044697ebff3291ca236acdf83b16a082f3cd8187c9ba7
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