knowledgator/gliformer-large-v1
token-classification model by knowledgator
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Model card & documentation
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One encoder for PDF layout processing, entity recognition, classification, relation extraction, structured records, and text embeddings. knowledgator/gliformer-large-v1 is the 575.6M-parameter large release of GLiFormer. It accepts task labels and extraction schemas at inference time, with task heads sharing a DeBERTa encoder. The layout-aware architecture supports text and document-layout inputs; the usage examples and quality results below focus on text tasks. Or install the GLiFormer framework in a Python 3.10+ environment from the source: Optional CUDA attention kernels are available with pip install -e ".[flash]". CPU inference uses eager attention. The following examples reuse model: For a local copy, replace the model ID with the checkpoint directory. Specify the entity types at inference time: Each entity includes text, label, start, end, and score. Offsets are character positions with an exclusive end. Pass a list of texts and batchsize=8 for batched extraction. Named groups are also supported, for example {"sentiment": ["positive", "negative"],…
Read the full model card ↗ · Preview checked 2026-10-30T19:58:06.148Z
Inside the original model card — Document outline
- GLiFormer Large v1
- Usage
- Named entity recognition
- Text classification
- Joint relation extraction
- Structured extraction
- Multiple tasks in one call
- Text embeddings
- Reported evaluation results
- Named entity recognition
- Text classification
- Joint relation extraction
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
knowledgator/gliformer-large-v1 is a token-classification model repository published by knowledgator on Hugging Face. The source reports the gliformer library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- token-classification
- Library
- gliformer
- Recent downloads (30 days)
- 1,203
- Cumulative likes
- 158
- Hugging Face trending score
- 82
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-11T13:29:48.000Z
- Last modified
- 2026-09-18T18:31:25.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-25T06:37:38.307Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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