Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Trained with AutoTrain
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Maliru/comprehend-it-dnd-roles")
model = AutoModelForSequenceClassification.from_pretrained("Maliru/comprehend-it-dnd-roles", device_map="auto")Quick Links
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Model tree for Maliru/comprehend-it-dnd-roles
Base model
knowledgator/comprehend_it-base
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Maliru/comprehend-it-dnd-roles")