Text Classification
Transformers
Safetensors
English
modernbert
feature-extraction
cybersecurity
vulnerability-management
cve
cvss
security
multi-task-classification
text-embeddings-inference
Instructions to use AXONVERTEX-AI-RESEARCH/cve-cvss-vector-modernbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXONVERTEX-AI-RESEARCH/cve-cvss-vector-modernbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AXONVERTEX-AI-RESEARCH/cve-cvss-vector-modernbert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AXONVERTEX-AI-RESEARCH/cve-cvss-vector-modernbert-base") model = AutoModel.from_pretrained("AXONVERTEX-AI-RESEARCH/cve-cvss-vector-modernbert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AXONVERTEX-AI-RESEARCH/cve-cvss-vector-modernbert-base: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/AXONVERTEX-AI-RESEARCH/cve-cvss-vector-modernbert-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://AXONVERTEX-AI-RESEARCH/cve-cvss-vector-modernbert-base/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/AXONVERTEX-AI-RESEARCH/cve-cvss-vector-modernbert-base/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.