Instructions to use karths/binary_classification_train_build with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_build with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_build")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_build") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_build") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc66e87806e70873714ca4ed53b2f56d32f217270d52b052ba193b8763fe57f2
- Size of remote file:
- 4.66 kB
- SHA256:
- 34f5690b2a5603554c13f29c439ae2d9aa25bbf66bfb42a129aa8aa35ad4b2c1
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