Instructions to use karths/binary_classification_train_defect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_defect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_defect")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_defect") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_defect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": [ | |
| 0.9286116700201207, | |
| 0.9784399224806202, | |
| 0.9940253325898192, | |
| 0.9972912683237731, | |
| 0.9980114540248171 | |
| ], | |
| "recall": [ | |
| 0.917680744452398, | |
| 0.9638084632516704, | |
| 0.9925230671333122, | |
| 0.9957047406936048, | |
| 0.9980114540248171 | |
| ], | |
| "f1": [ | |
| 0.9231138491079286, | |
| 0.9710690815835872, | |
| 0.993273631840796, | |
| 0.9964973730297723, | |
| 0.9980114540248171 | |
| ], | |
| "auc": [ | |
| 0.9777264564543487, | |
| 0.9959390566219378, | |
| 0.9996784268717986, | |
| 0.9998726037699277, | |
| 0.9999709850955988 | |
| ], | |
| "acc": [ | |
| 0.9256824684865826, | |
| 0.9720815127025251, | |
| 0.9934650632226132, | |
| 0.9965971926839643, | |
| 0.9980665867522525 | |
| ], | |
| "mcc": [ | |
| 0.8512596171356405, | |
| 0.9441975563000122, | |
| 0.9869206059875473, | |
| 0.9931900476424383, | |
| 0.9961301988513653 | |
| ] | |
| } |