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mathislucka
/
deberta-base-hallucination-eval-v2

Text Classification
Transformers
PyTorch
deberta-v2
text-embeddings-inference
Model card Files
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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="mathislucka/deberta-base-hallucination-eval-v2")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("mathislucka/deberta-base-hallucination-eval-v2")
model = AutoModelForSequenceClassification.from_pretrained("mathislucka/deberta-base-hallucination-eval-v2")
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Check out the documentation for more information.

Inference 

from transformers import pipeline

pipe = pipeline(model="mathislucka/deberta-base-hallucination-eval-v2", task="text-classification", function_to_apply="none")

prediction = pipe(<statement> + "[SEP]" + <evidence>)
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