Instructions to use karths/binary_classification_train_port with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_port with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_port")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_port") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_port", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 203 Bytes
eb5fd7a | 1 2 3 4 5 6 7 8 | {
"precision": 0.08992825123810563,
"recall": 0.08318571102428549,
"f1": 0.06327217393338591,
"auc": 0.04615504520779968,
"acc": 0.061668586609777844,
"mcc": 0.12159356263974426
} |