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Maliru
/
deberta-v3-base-dnd

Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Trained with AutoTrain
text-embeddings-inference
Model card Files
xet
 Metrics
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="Maliru/deberta-v3-base-dnd")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("Maliru/deberta-v3-base-dnd")
model = AutoModelForSequenceClassification.from_pretrained("Maliru/deberta-v3-base-dnd")
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Model Trained Using AutoTrain

  • Problem type: Text Classification

Validation Metrics

loss: 0.41303551197052

f1: 0.8469565217391304

precision: 0.8563175081637779

recall: 0.837797984762841

auc: 0.8995583741711224

accuracy: 0.8155964675946714

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Model size
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Tensor type
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