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
buburayam2024_indobtwt_7_semimaxunder / runs /Jun19_19-04-14_80516ee61c48 /events.out.tfevents.1718823857.80516ee61c48.721.5
- Xet hash:
- 720fc3a6e6c7db25446b8e42722ff6a26a064ec222eb7709546f1537eea3649f
- Size of remote file:
- 26.7 kB
- SHA256:
- dc33d068b2f3d4d551c65bdef50825ef1f750a125609bc4b683f4cb18dd25652
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