fastino
/

gliner2.5-base-v1

Token Classification

Text classification

Named Entity Recognition

Relation Extraction

Intent classification

Sentiment Analysis

Topic classification

Structured extraction

Json extraction

information-extraction

boundary-extraction

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m-newhauser commited on 17 days ago

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@@ -44,7 +44,7 @@ tags:
 GLiNER2.5 Base is the English boundary checkpoint at DeBERTa-v3-base scale. It is the everyday English model for schema-driven NER, classification, records, and relations. Load it with `AutoExtractor`: the checkpoint's `architecture` field selects `BoundaryExtractor` automatically.
-Fine-tune via [Fastino](https://fastino.ai). Join discussions on [Discord](https://discord.gg/fastino) and [Reddit](https://www.reddit.com/r/GLiNER/).
 ## ✨ Why GLiNER2.5?

 GLiNER2.5 Base is the English boundary checkpoint at DeBERTa-v3-base scale. It is the everyday English model for schema-driven NER, classification, records, and relations. Load it with `AutoExtractor`: the checkpoint's `architecture` field selects `BoundaryExtractor` automatically.
+Fine-tune via [Fastino](https://fastino.ai). Join discussions on [Reddit](https://www.reddit.com/r/GLiNER/).
 ## ✨ Why GLiNER2.5?