Instructions to use karths/binary_classification_train_main with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_main with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_main")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_main") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_main") - Notebooks
- Google Colab
- Kaggle
File size: 203 Bytes
09f123b | 1 2 3 4 5 6 7 8 | {
"precision": 0.12575887249196502,
"recall": 0.06267848721566328,
"f1": 0.09046301930028397,
"auc": 0.060703939280191924,
"acc": 0.09473940508880427,
"mcc": 0.18403016764234956
} |