| EditLens RoBERTa Model Kit — CoderBak |
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| This repository redistributes the original Pangram EditLens RoBERTa-large |
| checkpoint and converted ONNX artifacts derived from that checkpoint. |
| It is a community conversion/distribution project, not a newly trained model. |
| No affiliation with or endorsement by Pangram, the EditLens authors, Meta, |
| Hugging Face, or Microsoft is claimed. |
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| Original model developer: Pangram. |
| Original research authors: Katherine Thai, Bradley Emi, Elyas Masrour, |
| and Mohit Iyyer. |
| Paper: EditLens: Quantifying the Extent of AI Editing in Text. |
| https://arxiv.org/abs/2510.03154 |
| Upstream model: https://huggingface.co/pangram/editlens_roberta-large |
| Pinned source revision: f93e1ace74528cfb48f337ab2fe946fb71a728cb |
| Upstream research code: https://github.com/pangramlabs/EditLens |
| Base-model lineage: https://huggingface.co/FacebookAI/roberta-large |
| The base-model card identifies its license as MIT. The EditLens derivative |
| weights distributed here retain Pangram's CC BY-NC-SA 4.0 license. |
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| License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 |
| International (CC BY-NC-SA 4.0). |
| https://creativecommons.org/licenses/by-nc-sa/4.0/ |
| The complete license text is provided in LICENSE. Its attribution, |
| noncommercial, share-alike, and other applicable terms continue to apply. |
| Public availability does not grant commercial-use rights. |
| No additional research-only restriction is imposed by this model kit. |
| Third-party software dependencies retain their own licenses. |
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| Changes made by CoderBak: |
| - Exported the complete sequence classifier to ONNX with opset 17, |
| dynamic batch/sequence axes, int64 input IDs and attention masks, |
| and four output logits. |
| - Created optional FP16 and dynamic per-channel INT8 MatMul variants. |
| - Added conversion scripts, local inference example, provenance, |
| checksums, and numerical conversion checks. |
| - No retraining, distillation, new calibration, or change of label order. |
| - The root PyTorch checkpoint/configuration/tokenizer files are preserved |
| byte-for-byte from the pinned upstream snapshot. |
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| The original model card is retained in upstream/README.md. Its access-form |
| metadata is historical upstream information, not a gate for this repository. |
| This repository is public and ungated; that does not waive the model license |
| or grant access to the separately gated upstream repository. |
| |
| The license includes a disclaimer of warranties and limitation of liability. |
| Please retain this notice, source attribution, license, and change notices |
| when redistributing the model or further derivatives. |
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