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cross-encoder/nli-deberta-v3-small (141M params)| Head | Validity Claim | Description |
|---|---|---|
claim_risk | Wahrheit (Truth) | Are unsupported assertions present? |
argument_quality | Richtigkeit (Rightness) | Is reasoning/evidence present? |
[1] index gives the positive class probability.1import * as ort from 'onnxruntime-web';
2import { AutoTokenizer } from '@huggingface/transformers';
3
4const tokenizer = await AutoTokenizer.from_pretrained('onblueroses/pnyx-habermas');
5const session = await ort.InferenceSession.create('model.onnx');
6
7const { input_ids, attention_mask } = tokenizer(text, {
8 padding: true, truncation: true, max_length: 256, return_tensors: 'np',
9});
10
11const output = await session.run({
12 input_ids: new ort.Tensor('int64', input_ids.data, input_ids.dims),
13 attention_mask: new ort.Tensor('int64', attention_mask.data, attention_mask.dims),
14});