Instructions to use fhswf/bert_de_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fhswf/bert_de_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fhswf/bert_de_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("fhswf/bert_de_ner") model = AutoModelForTokenClassification.from_pretrained("fhswf/bert_de_ner") - Notebooks
- Google Colab
- Kaggle
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# BERT-DE-NER
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## What is it?
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This is a
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## Base model & training
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This model is based on [bert-base-german-dbmdz-cased](https://huggingface.co/bert-base-german-dbmdz-cased) and has been fine-tuned
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# BERT-DE-NER
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## What is it?
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This is a German BERT model fine-tuned for named entity recognition.
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## Base model & training
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This model is based on [bert-base-german-dbmdz-cased](https://huggingface.co/bert-base-german-dbmdz-cased) and has been fine-tuned
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