Token Classification
Transformers
Safetensors
Latvian
deberta-v2
nlp
latvian
latvian-nlp
sentence-segmentation
sentence-boundary-detection
sentence-segmenter
text-segmentation
ortix
baltrix
Instructions to use Baltrix-AI/ortix-seg-lv-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baltrix-AI/ortix-seg-lv-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Baltrix-AI/ortix-seg-lv-small")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Baltrix-AI/ortix-seg-lv-small") model = AutoModelForTokenClassification.from_pretrained("Baltrix-AI/ortix-seg-lv-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
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