Summarization
Transformers
PyTorch
Safetensors
Enawené-Nawé
bart
text2text-generation
security
shorts
infosec
Instructions to use venkycs/securityShots with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use venkycs/securityShots with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="venkycs/securityShots")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("venkycs/securityShots") model = AutoModelForSeq2SeqLM.from_pretrained("venkycs/securityShots", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
22f66bb | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f2f22bc7beea38b762948de5831b1b789bedd2002c998cfef0dbedcdd6b54845
size 2108717
|