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:
- a43e2d24063a862e802c210dbd6dd01cb9ec72d9887f7d38b26141d362dc5e63
- Size of remote file:
- 657 MB
- SHA256:
- b43ec79986d89b91c30c3e07657a8f516a0fd29e5ac8312f6aa92334c87e6357
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