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protectai / deberta-v3-large-zeroshot-v1-onnx
Model's Last Updated: Avril 11 2024
zero-shot-classification
Introduction of deberta-v3-large-zeroshot-v1-onnx
Model Details of deberta-v3-large-zeroshot-v1-onnx
ONNX version of MoritzLaurer/deberta-v3-large-zeroshot-v1
This model is a conversion of MoritzLaurer/deberta-v3-large-zeroshot-v1 to ONNX format using the 🤗 Optimum library.
MoritzLaurer/deberta-v3-large-zeroshot-v1
is designed for zero-shot classification, capable of determining whether a hypothesis is
true
or
not_true
based on a text, a format based on Natural Language Inference (NLI).
Usage
Loading the model requires the 🤗 Optimum library installed.
from optimum.onnxruntime import ORTModelForSequenceClassification
from transformers import AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("laiyer/deberta-v3-large-zeroshot-v1-onnx")
tokenizer.model_input_names = ["input_ids", "attention_mask"]
model = ORTModelForSequenceClassification.from_pretrained("laiyer/deberta-v3-large-zeroshot-v1-onnx")
classifier = pipeline(
task="zero-shot-classification",
model=model,
tokenizer=tokenizer,
)
classifier_output = classifier("Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app.", ["mobile", "website", "billing", "account access"])
print(classifier_output)
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Runs of protectai deberta-v3-large-zeroshot-v1-onnx on huggingface.co
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More Information About deberta-v3-large-zeroshot-v1-onnx huggingface.co Model
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Provider of deberta-v3-large-zeroshot-v1-onnx huggingface.co
Other API from protectai
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