| language: | |
| - "la" | |
| tags: | |
| - "latin" | |
| - "token-classification" | |
| - "pos" | |
| - "dependency-parsing" | |
| base_model: ClassCat/roberta-base-latin-v2 | |
| datasets: | |
| - "universal_dependencies" | |
| license: "cc-by-sa-4.0" | |
| pipeline_tag: "token-classification" | |
| widget: | |
| - text: "deus videt te non sentientem" | |
| # roberta-base-latin-ud-goeswith | |
| ## Model Description | |
| This is a RoBERTa model pre-trained on CC-100 Latin texts for POS-tagging and dependency-parsing (using `goeswith` for subwords), derived from [roberta-base-latin-v2](https://huggingface.co./ClassCat/roberta-base-latin-v2). | |
| ## How to Use | |
| ```py | |
| from transformers import pipeline | |
| nlp=pipeline("universal-dependencies","KoichiYasuoka/roberta-base-latin-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple") | |
| print(nlp("deus videt te non sentientem")) | |
| ``` | |