Instructions to use Lynote/cive202-humanize-ai-text-bart-large-browser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Lynote/cive202-humanize-ai-text-bart-large-browser with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'Lynote/cive202-humanize-ai-text-bart-large-browser');
YAML Metadata Warning:The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
BART AI Humanizer โ Browser ONNX (Lynote export)
Browser-ready ONNX export of the cive202/humanize-ai-text-bart-large humanizer (406M, BART-large), converted by Lynote for 100% in-browser inference with transformers.js.
The export is built directly from the MIT-licensed upstream weights with
torch.onnx (scripts/model/export-bart-split.py in StealthHumanizer):
encoder_model.onnx + decoder_model_merged.onnx (incremental past-key-value
cache), the exact layout transformers.js expects for seq2seq models.
Attribution
- Upstream fine-tune:
cive202/humanize-ai-text-bart-large(MIT) - Base model:
facebook/bart-large(MIT) - Conversion: ONNX export by Lynote. Lynote does not claim authorship of the upstream weights.
Usage (transformers.js)
import { pipeline } from '@huggingface/transformers';
const humanize = await pipeline('text2text-generation', 'Lynote/cive202-humanize-ai-text-bart-large-browser');
const out = await humanize('It is important to note that this robust solution is seamless.', { max_length: 150 });
Or via the StealthHumanizer app with
NEXT_PUBLIC_BROWSER_MODEL_BASE=https://huggingface.co/Lynote.
Responsible use
This is a writing-quality aid, not a guarantee that text will be classified as human by any AI detector. Do not use it to misrepresent authorship in academic, legal, or disciplinary contexts.
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Model tree for Lynote/cive202-humanize-ai-text-bart-large-browser
Base model
facebook/bart-large