Instructions to use ACCORD-NLP/ner-bert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACCORD-NLP/ner-bert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ACCORD-NLP/ner-bert-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ACCORD-NLP/ner-bert-large") model = AutoModelForTokenClassification.from_pretrained("ACCORD-NLP/ner-bert-large") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:6069ae819e3240f20e5e6a3eea42ceb75c38265a2854ddafc1d95584ab5e8223
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size 1330206556
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