Instructions to use zhangbo2008chi/ner_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhangbo2008chi/ner_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zhangbo2008chi/ner_bert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("zhangbo2008chi/ner_bert") model = AutoModel.from_pretrained("zhangbo2008chi/ner_bert") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
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:cbcce69ab207a6c01d6c7b8bd98490fd48b4e1ba0211a18d7ae11ed947204dda
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size 433267632
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