Instructions to use bziemba/SecureBERT-MultiTask-CVSS-CWE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bziemba/SecureBERT-MultiTask-CVSS-CWE with Transformers:
# Load model directly from transformers import AutoTokenizer, SecureBERTMultiHead tokenizer = AutoTokenizer.from_pretrained("bziemba/SecureBERT-MultiTask-CVSS-CWE") model = SecureBERTMultiHead.from_pretrained("bziemba/SecureBERT-MultiTask-CVSS-CWE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00eda7fa5b79ca8cadad030e2a89c53b115a2f6c4a884be361176866016e5ade
- Size of remote file:
- 675 MB
- SHA256:
- bec0e8e1875b61a1b5e49a4d8f79f29510c78974d36a5c200276435ffa3ad7f8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.