Instructions to use Soxavin/gemma4-e2b-ardb-lora-v5-e2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Soxavin/gemma4-e2b-ardb-lora-v5-e2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Soxavin/gemma4-e2b-ardb-lora-v5-e2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Commit History
-
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x faster4728a5b -
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x fasterd480622 -
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x faster892fe92 -
Upload README.md with huggingface_hub
Verified signature4dd70fa -
initial commit
Verified signature20ffd34