Instructions to use bob-bob-bob-3/buburayam2024_indobtwt_7_semimaxunder 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_semimaxunder 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_semimaxunder")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bob-bob-bob-3/buburayam2024_indobtwt_7_semimaxunder") model = AutoModelForSequenceClassification.from_pretrained("bob-bob-bob-3/buburayam2024_indobtwt_7_semimaxunder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72d29f8981b8f38d7d5abbf3d7b171a4a5862e4a2a4ce33250397ec04ed1dbdb
- Size of remote file:
- 5.18 kB
- SHA256:
- 06d0d3be67e4f2928e633cd23ec4645be2bea7ef1f94c65812dea6b018c832b6
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