Instructions to use nlp-magnets/bert-cner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlp-magnets/bert-cner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nlp-magnets/bert-cner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nlp-magnets/bert-cner") model = AutoModelForTokenClassification.from_pretrained("nlp-magnets/bert-cner") - 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 sha256:607e62c8396aa1df153db52f0c14f56a011ed449f35fd856fba186a64d3743fb
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size 435603348
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