Instructions to use KoichiYasuoka/bert-base-german-upos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/bert-base-german-upos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KoichiYasuoka/bert-base-german-upos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/bert-base-german-upos") model = AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-base-german-upos") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): ec50ce4
model improved
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supar.model → esupar.model
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