Instructions to use karths/binary_classification_train_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_test") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 497020ceea11d6439e1bf321bd284dd9b18278990b58f3b37822376a6ae39676
- Size of remote file:
- 4.66 kB
- SHA256:
- d95243397dbb895865e579fdfffc58329ecc64d950e305045a610cbcdc526fc7
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