Instructions to use akashgenai/ai-incident-root-cause-analyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akashgenai/ai-incident-root-cause-analyzer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("akashgenai/ai-incident-root-cause-analyzer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use akashgenai/ai-incident-root-cause-analyzer with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for akashgenai/ai-incident-root-cause-analyzer to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for akashgenai/ai-incident-root-cause-analyzer to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for akashgenai/ai-incident-root-cause-analyzer to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="akashgenai/ai-incident-root-cause-analyzer", max_seq_length=2048, )
🚀 Incident Root Cause Analyzer
Fine-tuned LLM to analyze system incidents and generate structured insights.
🔹 Features
- Root cause detection
- Severity classification
- Impact analysis
- Recommended actions
🔹 Base Model
unsloth/gemma4-2b-it
🔹 Method
LoRA-based fine-tuning (SFT)
🔹 Example
Input: Database lock contention causing delays
Output: { "issue_type": "performance_issue", "root_cause": "database lock contention", "impact": "request delay", "severity": "high", "recommended_action": "optimize queries" }
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support