DAIGT
Collection
Detection of AI-Generated Text • 5 items • Updated • 1
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("zeyadusf/deberta-DAIGT-MODELS")
model = AutoModelForSequenceClassification.from_pretrained("zeyadusf/deberta-DAIGT-MODELS")Quick Links
Model Card for Model ID
Model Details
- eval_loss : 0.0035623444709926844,
- eval_accuracy : 0.9996336996336996,
- eval_f1-score : 0.999633699584551,
- epoch : 2
Classification Report:
precision recall f1-score support
0 1.00 1.00 1.00 1365
1 1.00 1.00 1.00 1365
accuracy 1.00 2730
macro avg 1.00 1.00 1.00 2730
weighted avg 1.00 1.00 1.00 2730
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Model tree for zeyadusf/deberta-DAIGT-MODELS
Base model
microsoft/deberta-base
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zeyadusf/deberta-DAIGT-MODELS")