Instructions to use karths/binary_classification_train_architecture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_architecture with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_architecture")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_architecture") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_architecture", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 201 Bytes
762a58d | 1 2 3 4 5 6 7 8 | {
"precision": 0.0745426930525177,
"recall": 0.0905715537198832,
"f1": 0.08262805195228776,
"auc": 0.043212808010137035,
"acc": 0.07728076347680288,
"mcc": 0.15492129516911088
} |