Instructions to use karths/binary_classification_train_main with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_main with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_main")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_main") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_main", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 195 Bytes
09f123b | 1 2 3 4 5 6 7 8 | {
"precision": 0.8999911881089057,
"recall": 0.9247447748450087,
"f1": 0.9101317451493776,
"auc": 0.9636037592388471,
"acc": 0.9112375533428165,
"mcc": 0.826341844030307
} |