Instructions to use karths/binary_classification_train_process with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_process with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_process")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_process") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_process") - Notebooks
- Google Colab
- Kaggle
File size: 201 Bytes
580a140 | 1 2 3 4 5 6 7 8 | {
"precision": 0.08661017207041687,
"recall": 0.0837115889388317,
"f1": 0.08516137838512547,
"auc": 0.04904163930420992,
"acc": 0.08454673453989468,
"mcc": 0.16908196503512965
} |