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Name the model foxmind; keep the GLiNER2 base model credit

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  1. README.md +5 -2
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@@ -4,12 +4,15 @@ base_model: fastino/gliner2.5-small-v1
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  library_name: transformers.js
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  tags:
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  - gliner2
 
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  - onnx
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  ---
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- # gliner2.5-small-v1 (ONNX, for Transformers.js)
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- An ONNX export of [`fastino/gliner2.5-small-v1`](https://huggingface.co/fastino/gliner2.5-small-v1) (Apache-2.0, 74M parameters, English), for the [foxpilot](https://github.com/pooriaarab/foxpilot) apps. It runs on-device in Firefox with ONNX Runtime Web.
 
 
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  The export keeps foxpilot's four inputs (`input_ids`, `attention_mask`, `word_positions`, `schema_positions`). It returns `cls_logits [1, L]` for classification and `span_probs [1, L, C]` with `span_bounds [1, C, 2]` for span extraction over the boundary candidate pool. `reference.json` holds the library's own results on 14 calls.
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  library_name: transformers.js
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  tags:
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  - gliner2
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+ - foxpilot
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  - onnx
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  ---
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+ # foxmind-small
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+ foxmind-small is the small on-device model for the [foxpilot](https://github.com/pooriaarab/foxpilot) apps (PII Guard, Consent Shield and others). It is an ONNX export of GLiNER2.5 small.
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+
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+ Base model: [`fastino/gliner2.5-small-v1`](https://huggingface.co/fastino/gliner2.5-small-v1) (Apache-2.0, 74M parameters, English). It runs on-device in Firefox with ONNX Runtime Web.
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  The export keeps foxpilot's four inputs (`input_ids`, `attention_mask`, `word_positions`, `schema_positions`). It returns `cls_logits [1, L]` for classification and `span_probs [1, L, C]` with `span_bounds [1, C, 2]` for span extraction over the boundary candidate pool. `reference.json` holds the library's own results on 14 calls.
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