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") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
97b17ba
1
Parent(s): c105263
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:ba17dd4164d716517bd05f3a7548ba138b9b997e08ee9268aa1c3fd00fb07af5
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size 437432398
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