Instructions to use karths/binary_classification_train_automation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_automation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_automation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_automation") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_automation") - Notebooks
- Google Colab
- Kaggle
File size: 525 Bytes
51c4edf | 1 | {"0": {"precision": 0.9938162544169611, "recall": 0.9911894273127754, "f1-score": 0.9925011027790032, "support": 1135}, "1": {"precision": 0.990791896869245, "recall": 0.9935364727608494, "f1-score": 0.9921622867680958, "support": 1083}, "accuracy": 0.9923354373309288, "macro avg": {"precision": 0.992304075643103, "recall": 0.9923629500368124, "f1-score": 0.9923316947735494, "support": 2218}, "weighted avg": {"precision": 0.9923395279858627, "recall": 0.9923354373309288, "f1-score": 0.9923356664670948, "support": 2218}} |