Instructions to use karths/binary_classification_train_usab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_usab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_usab")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_usab") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_usab") - Notebooks
- Google Colab
- Kaggle
File size: 527 Bytes
bf73d26 | 1 | {"0": {"precision": 0.9952986725663717, "recall": 0.9952986725663717, "f1-score": 0.9952986725663717, "support": 3616}, "1": {"precision": 0.9949329359165425, "recall": 0.9949329359165425, "f1-score": 0.9949329359165425, "support": 3355}, "accuracy": 0.9951226509826424, "macro avg": {"precision": 0.9951158042414572, "recall": 0.9951158042414572, "f1-score": 0.9951158042414572, "support": 6971}, "weighted avg": {"precision": 0.9951226509826424, "recall": 0.9951226509826424, "f1-score": 0.9951226509826424, "support": 6971}} |