Instructions to use karths/binary_classification_train_build with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_build with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_build")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_build") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_build", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 201 Bytes
cc2f852 | 1 2 3 4 5 6 7 8 | {
"precision": 0.05510372247221357,
"recall": 0.04970422673822744,
"f1": 0.0524088456130476,
"auc": 0.02584711308047101,
"acc": 0.05196498764361626,
"mcc": 0.10389328134214777
} |