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
| {"precision": 1.0, "recall": 0.9647577092511013, "acc": 0.9828326180257511, "mcc": 0.9661834691175403, "f1": 0.9820627802690582, "auc": 0.9997788140747977} |