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
- Xet hash:
- edd67a6f5255205c45d7a1c34024ef061be1dccbe93545b704b891b3cc699df2
- Size of remote file:
- 332 MB
- SHA256:
- 7bd0f8935123f0d8a4efde417cc2a5c9582af535fcc54b4a217a2187d910b556
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