Instructions to use shashanksabhlok/personal-cfo-nemotron-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shashanksabhlok/personal-cfo-nemotron-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shashanksabhlok/personal-cfo-nemotron-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Personal CFO Nemotron v2
LoRA adapter for nvidia/Llama-3.1-Nemotron-Nano-8B-v1, fine-tuned for personal transaction classification.
For base-model architecture, capabilities, limitations, and licensing, see the NVIDIA Nemotron Nano 8B model card.
Fine-tuning
Trained on NVIDIA DGX Spark with Unsloth using QLoRA.
- LoRA rank: 8
- LoRA alpha: 32
- 2 epochs
- 530 training examples
- 134 validation examples
- 100 held-out test examples
The adapter predicts:
{
"category": "...",
"subcategory": "...",
"protected": false,
"one_time_exceptional": false
}
Inference Providers NEW
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Model tree for shashanksabhlok/personal-cfo-nemotron-v2
Base model
nvidia/Llama-3.1-Nemotron-Nano-8B-v1