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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 201 Bytes
bf73d26 | 1 2 3 4 5 6 7 8 | {
"precision": 0.08372383861012372,
"recall": 0.08060361084435021,
"f1": 0.08216755638073554,
"auc": 0.04511604458939733,
"acc": 0.0794848028132971,
"mcc": 0.15912293056361734
} |