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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 196 Bytes
580a140 | 1 2 3 4 5 6 7 8 | {
"precision": 0.9402235050743437,
"recall": 0.9450917283553266,
"f1": 0.9426474017962854,
"auc": 0.9739184815699347,
"acc": 0.9431131361034145,
"mcc": 0.8862386744322146
} |