Instructions to use vera-pro/bert-mention-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vera-pro/bert-mention-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vera-pro/bert-mention-de")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vera-pro/bert-mention-de") model = AutoModelForTokenClassification.from_pretrained("vera-pro/bert-mention-de") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfae0a938b72890778d384fee4d025b5206808eefe9b465fafdb25414b364acc
- Size of remote file:
- 709 MB
- SHA256:
- be1fcd34e8a985e2e1c7a92dbe1c6dd6b6a0093d265fc32cb489504f2ee7ee88
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