How to use karths/binary_classification_train_port with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_port")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_port") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_port", device_map="auto")
https://huggingface.co/karths/binary_classification_train_port/resolve/main/detailed_confusion_matrix.png
hf download hf://karths/binary_classification_train_port/detailed_confusion_matrix.png
curl -L -o detailed_confusion_matrix.png https://huggingface.co/karths/binary_classification_train_port/resolve/main/detailed_confusion_matrix.png
