Instructions to use s2w-ai/CyBERTuned-SecurityLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s2w-ai/CyBERTuned-SecurityLLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="s2w-ai/CyBERTuned-SecurityLLM")# Load model directly from transformers import AutoTokenizer, RobertaForTokClassAndMaskedLM tokenizer = AutoTokenizer.from_pretrained("s2w-ai/CyBERTuned-SecurityLLM") model = RobertaForTokClassAndMaskedLM.from_pretrained("s2w-ai/CyBERTuned-SecurityLLM") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot