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
File size: 208 Bytes
05adcef | 1 2 3 4 5 6 7 8 | {
"precision": 0.009763845553774957,
"recall": 0.011618093292986256,
"f1": 0.010690066219243916,
"auc": 0.002129851766811341,
"acc": 0.010627752423803014,
"mcc": 0.021252890849711107
} |