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") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": 0.08992825123810563, | |
| "recall": 0.08318571102428549, | |
| "f1": 0.06327217393338591, | |
| "auc": 0.04615504520779968, | |
| "acc": 0.061668586609777844, | |
| "mcc": 0.12159356263974426 | |
| } |