Instructions to use ctoraman/deprem-berturk-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctoraman/deprem-berturk-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ctoraman/deprem-berturk-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ctoraman/deprem-berturk-binary") model = AutoModelForSequenceClassification.from_pretrained("ctoraman/deprem-berturk-binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed4a5624392dbc37a21cf25b6bfb9cbe2bc8665d7808ff5085c998afffb8f4bb
- Size of remote file:
- 2.67 kB
- SHA256:
- 1570898983fac81b4d762aea829688a6589fff6b6b29faff0913bc92ed20edd5
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