Text Classification
Transformers
Safetensors
English
roberta
security
cybersecurity
wazuh
transformer
secroberta
log-analysis
anomaly-detection
text-embeddings-inference
Instructions to use pyToshka/wazuh-assist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pyToshka/wazuh-assist with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pyToshka/wazuh-assist")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pyToshka/wazuh-assist") model = AutoModelForSequenceClassification.from_pretrained("pyToshka/wazuh-assist") - Notebooks
- Google Colab
- Kaggle
Request: Important question
#1
by ayeshacoder - opened
Hi,
I wanted to clarify one thing regarding this model.
Does this model support processing real-time Wazuh log pipelines via wazuh api or something(for example, directly ingesting live logs from Wazuh/Elastic/agents), or does it only work with static/dumped log files for classification?
If real-time processing is supported, could you please share some details about the recommended architecture or deployment setup?
Thank you in advance for your guidance!
ayeshacoder changed discussion status to closed
ayeshacoder changed discussion status to open