Instructions to use karths/binary_classification_train_secu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_secu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_secu")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_secu") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_secu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eda0080579054636d9fee2b6fe42a04b2e1ee3c41f5781a7715da175ae243f14
- Size of remote file:
- 14.2 kB
- SHA256:
- daf092c631eddba8393f1695b7fe64784aee19e1fc1e6b615904a935f648a667
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