Instructions to use karths/binary_classification_train_infrastructure with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_infrastructure with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_infrastructure")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_infrastructure") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_infrastructure", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 195 Bytes
624dc64 | 1 2 3 4 5 6 7 8 | {
"precision": 0.938646393726003,
"recall": 0.9476552126208471,
"f1": 0.9430979612255189,
"auc": 0.9740602276109943,
"acc": 0.9436456404127538,
"mcc": 0.8873829972839754
} |