Instructions to use karths/binary_classification_train_perf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_perf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_perf")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_perf") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_perf") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": 0.03720266873587592, | |
| "recall": 0.034270783411463834, | |
| "f1": 0.03572970487644412, | |
| "auc": 0.01488391732575064, | |
| "acc": 0.03544020140627279, | |
| "mcc": 0.07086600340705013 | |
| } |