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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 203 Bytes
8c32e38 | 1 2 3 4 5 6 7 8 | {
"precision": 0.03720266873587592,
"recall": 0.034270783411463834,
"f1": 0.03572970487644412,
"auc": 0.01488391732575064,
"acc": 0.03544020140627279,
"mcc": 0.07086600340705013
} |