Instructions to use karths/binary_classification_train_perf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_perf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_perf")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_perf") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_perf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 195 Bytes
8c32e38 | 1 2 3 4 5 6 7 8 | {
"precision": 0.9707103535505637,
"recall": 0.9759561414958883,
"f1": 0.9733231521176465,
"auc": 0.991143471153863,
"acc": 0.9735625025627452,
"mcc": 0.9471405096283823
} |