Instructions to use mschiesser/ner-bert-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mschiesser/ner-bert-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mschiesser/ner-bert-german")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mschiesser/ner-bert-german") model = AutoModelForTokenClassification.from_pretrained("mschiesser/ner-bert-german") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f7be84f23c6b80b1ea2353052a8ac50c03769c0705402a02bd4a91a08ff55a3a
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size 709100470
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