Instructions to use tartuNLP/est-roberta-vm-morph-tagging with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tartuNLP/est-roberta-vm-morph-tagging with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tartuNLP/est-roberta-vm-morph-tagging")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tartuNLP/est-roberta-vm-morph-tagging") model = AutoModelForTokenClassification.from_pretrained("tartuNLP/est-roberta-vm-morph-tagging") - Notebooks
- Google Colab
- Kaggle
Model description
est-roberta-vm-morph-tagging is an Est-RoBERTa based model fine-tuned for tagging partofpseech and morphological features in Estonian texts using Vabamorf's tagset. This is version 2 of the model, which has been: 1) fine-tuned to mimic automatic tagging behaviour of the Vabamorf morphological analyser and disambiguator on an automatically tagged corpus, 2) fine-tuned on gold standard morphological annotations of Estonian Dependency Treebank (EDT). Fine-tuning and evaluation scripts of the model are available in the repository: https://github.com/estnltk/estnltk-model-training/tree/main/morph_tagging
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Model tree for tartuNLP/est-roberta-vm-morph-tagging
Base model
EMBEDDIA/est-roberta