Instructions to use jabo/GenderSequenceAnnotation-bert-base-german-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jabo/GenderSequenceAnnotation-bert-base-german-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jabo/GenderSequenceAnnotation-bert-base-german-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jabo/GenderSequenceAnnotation-bert-base-german-cased") model = AutoModelForTokenClassification.from_pretrained("jabo/GenderSequenceAnnotation-bert-base-german-cased") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:7355f5c5b1888973a8d19a18b16ee205d57bc4ec0a7328154d2ec31f348d3e98
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size 434026340
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