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
- Xet hash:
- 6f30daf0b1def867c5e7386b310793be7b94da62031fc348254344d90ac3b366
- Size of remote file:
- 187 MB
- SHA256:
- 53f8a36609999a8763e3c7c6fbb5aa4bebe842476c4133d41fd8cd2fcd38e8a8
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