Question Answering
Transformers
PyTorch
gpt2
text-generation
cybersecurity
text-generation-inference
Instructions to use SK-1/cve-llm-gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SK-1/cve-llm-gpt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="SK-1/cve-llm-gpt2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SK-1/cve-llm-gpt2") model = AutoModelForCausalLM.from_pretrained("SK-1/cve-llm-gpt2") - Notebooks
- Google Colab
- Kaggle
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