Update Ortix model card

README.md

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+---
+license: apache-2.0
+language:
+  - lv
+library_name: transformers
+pipeline_tag: token-classification
+base_model: AiLab-IMCS-UL/lv-deberta-base
+tags:
+  - nlp
+  - latvian
+  - latvian-nlp
+  - sentence-segmentation
+  - sentence-boundary-detection
+  - sentence-segmenter
+  - text-segmentation
+  - token-classification
+  - deberta-v2
+  - ortix
+  - baltrix
+---
+
+![Ortix](./ortix-card.webp)
+
+# Ortix Seg LV Small
+
+Latvian sentence segmentation model for detecting sentence boundaries in written Latvian text.
+
+This model is part of the Ortix release by Baltrix. It is intended for document cleanup, corpus processing, retrieval preprocessing, and other Latvian text-processing pipelines where sentence boundaries need to be recovered reliably.
+
+The small variant is a 3-layer DeBERTa-v2 token-classification model adapted from `AiLab-IMCS-UL/lv-deberta-base` and optimized for lighter runtime use.
+
+## Use
+
+```bash
+pip install ortix-seg
+```
+
+```python
+from ortix.seg import SentenceSegmenter
+
+segmenter = SentenceSegmenter.from_pretrained("Baltrix-AI/ortix-seg-lv-small")
+spans = segmenter.segment("Pirmais teikums. Otrais teikums.")
+```
+
+The `ortix-seg` runtime applies the release-time segmentation configuration and Latvian postprocessing rules.
+
+## Links
+
+- Runtime package: https://github.com/Baltrix-AI/ortix-runtime
+- Release page: https://baltrix.ai/releases/ortix
+- Blog article: https://baltrix.ai/blog/latvian-sentence-segmentation