Instructions to use CTIKR/secbert-ner-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CTIKR/secbert-ner-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="CTIKR/secbert-ner-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("CTIKR/secbert-ner-model") model = AutoModelForTokenClassification.from_pretrained("CTIKR/secbert-ner-model") - 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 sha256:5eba30796cca71f84386fcf58a244abec7380601b2cc472b0d1e30f27af79e22
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size 331491220
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