Instructions to use karths/binary_classification_train_infrastructure with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_infrastructure with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_infrastructure")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_infrastructure") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_infrastructure") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": 0.07951374360226879, | |
| "recall": 0.0694008972231123, | |
| "f1": 0.0744870492164043, | |
| "auc": 0.04537337368378794, | |
| "acc": 0.07399428005852, | |
| "mcc": 0.14785394419962916 | |
| } |