Model: yundog/TRACE-DeBERTa-v3-base
Author: yundog
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, deberta-v2, text-classification, multi-label-classification, deberta, argumentation, toulmin, pytorch, en, base_model:microsoft/deberta-v3-base, base_model:finetune:microsoft/deberta-v3-base, license:mit, endpoints_compatible, region:us
Base models (finetune): id: microsoft/deberta-v3-base
Card metadata: language: en
license: mit
base_model: microsoft/deberta-v3-base
pipeline_tag: text-classification
library_name: transformers
tags: text-classification, multi-label-classification, deberta, argumentation, toulmin, pytorch
model-index: name: TRACE-DeBERTa-v3-base
inference: parameters: function_to_apply: sigmoid
widget: text: Therefore, I conclude that the hypothesis is correct.
example_title: Example 1, text: The experiment showed a 95% success rate in controlled conditions.
example_title: Example 2, text: This assumes that all variables remain constant.
example_title: Example 3
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Created: 2025-11-24 23:46:05