Instructions to use Trappu/Nemo-Picaro-V2-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Trappu/Nemo-Picaro-V2-adapters with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Trappu/Nemo-Picaro-V2-adapters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: Trappu
- License: apache-2.0
- Finetuned from model : royallab/MN-LooseCannon-12B-v2
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for Trappu/Nemo-Picaro-V2-adapters
Base model
royallab/MN-LooseCannon-12B-v2