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
File size: 492 Bytes
eb5fd7a | 1 | {"0": {"precision": 0.9676113360323887, "recall": 1.0, "f1-score": 0.9835390946502057, "support": 239}, "1": {"precision": 1.0, "recall": 0.9647577092511013, "f1-score": 0.9820627802690582, "support": 227}, "accuracy": 0.9828326180257511, "macro avg": {"precision": 0.9838056680161944, "recall": 0.9823788546255506, "f1-score": 0.982800937459632, "support": 466}, "weighted avg": {"precision": 0.9833886465917187, "recall": 0.9828326180257511, "f1-score": 0.9828199457993034, "support": 466}} |