ModernBERT-Large-Instruct-Logician-v0-ONNX

ModernBERT-Large-Instruct-Logician-v0 (ONNX)

This is an ONNX version of JohnGorri/ModernBERT-Large-Instruct-Logician-v0. It was automatically converted and uploaded using this Hugging Face Space.

Usage with Transformers.js

See the pipeline documentation for fill-mask: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.FillMaskPipeline

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ModernBERT-Large-Instruct-Logician-v0

This model is a fine-tuned version of ModernBERT optimized for logical reasoning, deductive analysis, and structure-based token prediction. It relies on the ModernBertForMaskedLM architecture, making it highly effective at filling in missing contextual logic tokens (fill-mask).

Model Details

• Developed by: JohnGorri
• Model Type: Masked Language Model (MLM)
• Base Model: answerdotai/ModernBERT
• Language: English
• License: Apache 2.0

Intended Uses & Limitations

Use Cases

• Logical Deductions: Evaluating context clues to fill in missing arguments or qualifiers.

Limitations

• As an encoder-based Masked Language Model, it is not designed for long-form generative text (like ChatGPT). It excels at predicting masked tokens inside structured prompts.