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:
- 87a30c1a65788263f40fefbc4633e64c21ce083bc8035b76c25f673ae8d62d27
- Size of remote file:
- 5.18 kB
- SHA256:
- e675622df8aa12b652e77bd3784c42a2400269bde13b6976ce67e8f7abf1fe27
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