Instructions to use karths/binary_classification_train_design with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_design with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_design")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_design") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_design") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": 0.06591787828526462, | |
| "recall": 0.059693111978530534, | |
| "f1": 0.06283507374758243, | |
| "auc": 0.03324373615689578, | |
| "acc": 0.06280455502140439, | |
| "mcc": 0.12554404569709307 | |
| } |