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
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4f05566801a07f897b61bc7634af85ceea3c047015268267c69f9162f50c11d6
|
| 3 |
+
size 498842916
|