Instructions to use Nekuromento/ActionGemma-LoRA-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nekuromento/ActionGemma-LoRA-9b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nekuromento/ActionGemma-LoRA-9b", dtype="auto") - PEFT
How to use Nekuromento/ActionGemma-LoRA-9b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Untitled LoRA Model (1)
This is a LoRA extracted from a language model. It was extracted using mergekit.
LoRA Details
This LoRA adapter was extracted from KishoreK/ActionGemma-9B and uses google/gemma-2-9b-it as a base.
Parameters
The following command was used to extract this LoRA adapter:
mergekit-extract-lora KishoreK/ActionGemma-9B google/gemma-2-9b-it OUTPUT_PATH --rank=512
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support