Instructions to use karths/binary_classification_train_TD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_TD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_TD")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_TD") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_TD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": 0.9621857538576991, | |
| "recall": 0.9599693843334107, | |
| "f1": 0.9610745713640949, | |
| "auc": 0.9896991065691324, | |
| "acc": 0.9678747632034485, | |
| "mcc": 0.933731214954882 | |
| } |