fastino/gliner2.5-multi-v1
token-classification model by fastino
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Model card & documentation
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GLiNER2.5 Multi is the multilingual boundary checkpoint. It is built on mDeBERTa-v3-base and is the default choice when you need entities, classification, records, and relations in one model across languages. Load it with AutoExtractor: the checkpoint's architecture field selects BoundaryExtractor automatically. Fine-tune via Fastino. Join discussions on Reddit. This card is for fastino/gliner2.5-multi-v1. All three checkpoints share the same public API. Python 3.10 or newer is required. The [local] extra pulls in PyTorch so you can load Hub checkpoints. Always use AutoExtractor for GLiNER2.5. GLiNER2.frompretrained(...) is the legacy span loader and will not dispatch this checkpoint. Optional device, fp16, and compile flags: Returned offsets are half-open character spans into the original string: text[start:end] == entity["text"]. Add descriptions when labels are domain-specific: Independent per-task decoding with classifytext: Use gliner2.classification.Classifier when labels on one task legally constrain another. classifytext will not enforce those rules. Prediction knobs belong in ClassificationConfig on the call,…
Read the full model card ↗ · Preview checked 2026-10-29T20:44:24.036Z
Inside the original model card — Document outline
- GLiNER2.5 Multi: Unified Schema-Based Information Extraction
- ✨ Why GLiNER2.5?
- GLiNER2.5 family
- Installation
- Load the model
- Usage
- Entity extraction
- Text classification
- Constrained classification
- Relation extraction
- Joint information extraction
- Span attributes: people with sentiment
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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
fastino/gliner2.5-multi-v1 is a token-classification model repository published by fastino on Hugging Face. The source reports the gliner2 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
- gliner2
- Recent downloads (30 days)
- 249,334
- Cumulative likes
- 253
- Hugging Face trending score
- 69
- Reported safetensors parameters
- 287,355,159
- Architecture
- BoundaryExtractor
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-08-14T14:28:43.000Z
- Last modified
- 2026-09-24T22:08:26.000Z
Compatibility and lineage
Reported languages: multilingual, 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.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
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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