Text Generation
PEFT
Safetensors
English
cybersecurity
cve
cwe
vulnerability
classification
lora
qwen3
conversational
Instructions to use luca-software-developer/cyber-cve2cwe-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use luca-software-developer/cyber-cve2cwe-0.6b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-0.6B") model = PeftModel.from_pretrained(base_model, "luca-software-developer/cyber-cve2cwe-0.6b") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from luca-software-developer/cyber-cve2cwe-0.6b: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/luca-software-developer/cyber-cve2cwe-0.6b/resolve/main/tokenizer.json
- Command line
-
hf download hf://luca-software-developer/cyber-cve2cwe-0.6b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/luca-software-developer/cyber-cve2cwe-0.6b/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 95d6313ccf0b58caabbfa7fecb8e320adc7abe873d69d335637229dc0cb3a383
- Size of remote file:
- 11.4 MB
- SHA256:
- 476870a1f2fb6f6a2759a6ede2383bf9d5d738f17844563b65c91965b722ae09
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