Text Classification
Transformers
Safetensors
English
Indonesian
bert
fill-mask
token-classification
cybersecurity
named-entity-recognition
Instructions to use codechrl/bert-base-cybersecurity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codechrl/bert-base-cybersecurity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="codechrl/bert-base-cybersecurity")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("codechrl/bert-base-cybersecurity") model = AutoModelForMaskedLM.from_pretrained("codechrl/bert-base-cybersecurity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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