Instructions to use karths/binary_classification_train_code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_code with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_code")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_code") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_code") - Notebooks
- Google Colab
- Kaggle
File size: 202 Bytes
6cc4b2d | 1 2 3 4 5 6 7 8 | {
"precision": 0.08118060998093907,
"recall": 0.07411050012743055,
"f1": 0.07768806307708406,
"auc": 0.04372321488743366,
"acc": 0.07636180202223163,
"mcc": 0.15266022253587036
} |